1345 entries « ‹ 27 of 68
› » 521.
Schatz, Thomas; Peddinti, Vijayaditya; Bach, Francis; Jansen, Aren; Hermansky, Hynek; Dupoux, Emmanuel
Evaluating speech features with the Minimal-Pair ABX task: Analysis of the classical MFC/PLP pipeline Inproceedings
In: Proc. INTERSPEECH, 2013.
@inproceedings{schatz-peddinti-bach-jansen-hermansky-dupoux:is201,
title = {Evaluating speech features with the Minimal-Pair ABX task: Analysis of the classical MFC/PLP pipeline},
author = {Thomas Schatz and Vijayaditya Peddinti and Francis Bach and Aren Jansen and Hynek Hermansky and Emmanuel Dupoux},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. INTERSPEECH},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
522.
Variani, Ehsan; Li, Feipeng; Hermansky, Hynek
Multi-stream recognition of noisy speech with performance monitoring Inproceedings
In: Proc. INTERSPEECH, 2013.
@inproceedings{variani-li-hermansky:is2013,
title = {Multi-stream recognition of noisy speech with performance monitoring},
author = {Ehsan Variani and Feipeng Li and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. INTERSPEECH},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
523.
Kintzley, Keith; Jansen, Aren; Hermansky, Hynek
Text-to-Speech Inspired Duration Modeling for Improved Whole-Word Acoustic Models Inproceedings
In: Proc. INTERSPEECH, 2013.
@inproceedings{kintzley-jansen-hermansky:is2013,
title = {Text-to-Speech Inspired Duration Modeling for Improved Whole-Word Acoustic Models},
author = {Keith Kintzley and Aren Jansen and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. INTERSPEECH},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
524.
Jansen, Aren; Thomas, Samuel; Hermansky, Hynek
Weak Top-Down Constraints For Unsupervised Acoustic Model Training Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{jansen-thomas-hermansky:icassp2013,
title = {Weak Top-Down Constraints For Unsupervised Acoustic Model Training},
author = {Aren Jansen and Samuel Thomas and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
525.
Thomas, Samuel; Seltzer, Michael; Church, Kenneth; Hermansky, Hynek
Deep Neural Network Features and Semi-Supervised Training for Low Resource Speech Recognition Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{thomas-seltzer-church-hermansky:icassp2013,
title = {Deep Neural Network Features and Semi-Supervised Training for Low Resource Speech Recognition},
author = {Samuel Thomas and Michael Seltzer and Kenneth Church and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
526.
Li, Feipeng; Hermansky, Hynek
Effect Of Filter Bandwidth and Spectral Sampling Rate of Analysis Filterbank on Automatic Phoneme Recognition Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{li-hermansky:icassp2013,
title = {Effect Of Filter Bandwidth and Spectral Sampling Rate of Analysis Filterbank on Automatic Phoneme Recognition},
author = {Feipeng Li and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
527.
Clark, Pascal; Mallidi, Sri Harish; Jansen, Aren; Hermansky, Hynek
Frequency Offset Correction in Speech Without Detecting Pitch Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{clark-mallidi-jansen-hermansky:icassp2013,
title = {Frequency Offset Correction in Speech Without Detecting Pitch},
author = {Pascal Clark and Sri Harish Mallidi and Aren Jansen and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
528.
Jansen, Aren; Dupoux, Emmanuel; Goldwater, Sharon; Johnson, Mark; Khudanpur, Sanjeev; Church, Kenneth; Feldman, Naomi; Hermansky, Hynek; Metze, Florian; Rose, Richard; Seltzer, Michael; Clark, Pascal; Mcgraw, Ian; Varadarajan, Balakrishnan; Bennett, Erin; Borschinger, Benjamin; Chiu, Justin; Dunbar, Ewan; Fourtassi, Abdellah; Harwath, David; Lee, Chia-Ying; Levin, Keith; Norouzain, Atta; Peddinti, Vijayaditya; Richa, Rachael
A Summary Of The 2012 JHU CLSP Workshop on Zero Resource Speech Technologies and Models of Early Language Acquisition Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{jansen-dupoux-goldwater-johnson-khudanpur-church-f,
title = {A Summary Of The 2012 JHU CLSP Workshop on Zero Resource Speech Technologies and Models of Early Language Acquisition},
author = {Aren Jansen and Emmanuel Dupoux and Sharon Goldwater and Mark Johnson and Sanjeev Khudanpur and Kenneth Church and Naomi Feldman and Hynek Hermansky and Florian Metze and Richard Rose and Michael Seltzer and Pascal Clark and Ian Mcgraw and Balakrishnan Varadarajan and Erin Bennett and Benjamin Borschinger and Justin Chiu and Ewan Dunbar and Abdellah Fourtassi and David Harwath and Chia-Ying Lee and Keith Levin and Atta Norouzain and Vijayaditya Peddinti and Rachael Richa},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
529.
Hermansky, Hynek; Variani, Ehsan; Peddinti, Vijayaditya
Mean Temporal Distance: Predicting ASR Error from Temporal Properties of Speech Signal Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{hermansky-variani-peddinti:icassp2013,
title = {Mean Temporal Distance: Predicting ASR Error from Temporal Properties of Speech Signal},
author = {Hynek Hermansky and Ehsan Variani and Vijayaditya Peddinti},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
530.
Peddinti, Vijayaditya; Hermansky, Hynek
Filter-Bank Optimization for Frequency Domain Linear Prediction Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{peddinti-hermansky:icassp2013,
title = {Filter-Bank Optimization for Frequency Domain Linear Prediction},
author = {Vijayaditya Peddinti and Hynek Hermansky},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
531.
Plchot, Oldrich; Matsoukas, Spyros; Matejka, Pavel; Dehak, Najim; Ma, Jeff; Cumani, Sandro; Glembek, Ondrej; Hermansky, Hynek; Mallidi, Sri Harish; Mesgarani, Nima; Schwartz, Richard; Soufifar, Mehdi; Tan, Zheng-Hua; Thomas, Samuel; Zhang, Bing; Zhou, Xinhui
Developing a Speaker Identification System for The Darpa Rats Project Inproceedings
In: Proc. ICASSP, Vancouver, Canada, 2013.
@inproceedings{plchot-matsoukas-matejka-dehak-ma-cumani-glembek-h,
title = {Developing a Speaker Identification System for The Darpa Rats Project},
author = {Oldrich Plchot and Spyros Matsoukas and Pavel Matejka and Najim Dehak and Jeff Ma and Sandro Cumani and Ondrej Glembek and Hynek Hermansky and Sri Harish Mallidi and Nima Mesgarani and Richard Schwartz and Mehdi Soufifar and Zheng-Hua Tan and Samuel Thomas and Bing Zhang and Xinhui Zhou},
year = {2013},
date = {2013-01-01},
booktitle = {Proc. ICASSP},
address = {Vancouver, Canada},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
532.
Crammer, Koby; Dredze, Mark; Pereira, Fernando
Confidence-Weighted Linear Classification for Text Categorization Journal Article
In: 2012.
@article{Pereira:2011fk,
title = {Confidence-Weighted Linear Classification for Text Categorization},
author = {Koby Crammer and Mark Dredze and Fernando Pereira},
year = {2012},
date = {2012-01-01},
abstract = {Confidence-weighted online learning is a generalization of margin-based learning of linear classifiers in which the margin constraint is replaced by a probabilistic constraint based on a distribution over classifier weights that is updated online as examples are observed. The distribution captures a notion of confidence on classifier weights, and in some cases it can also be interpreted as replacing a single learning rate by adaptive per-weight rates. Confidence-weighted learning was motivated by the statistical properties of natural language classification tasks, where most of the informative features are relatively rare. We investigate several versions of confidence-weighted learning that use a Gaussian distribution over weight vectors, updated at each observed example to achieve high probability of correct classification for the example. Empirical evaluation on a range of text-categorization tasks show that our algorithms improve over other state-of-the-art online and batch methods, learn faster in the online setting, and lead to better classifier combination for a type of distributed training commonly used in cloud computing.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Confidence-weighted online learning is a generalization of margin-based learning of linear classifiers in which the margin constraint is replaced by a probabilistic constraint based on a distribution over classifier weights that is updated online as examples are observed. The distribution captures a notion of confidence on classifier weights, and in some cases it can also be interpreted as replacing a single learning rate by adaptive per-weight rates. Confidence-weighted learning was motivated by the statistical properties of natural language classification tasks, where most of the informative features are relatively rare. We investigate several versions of confidence-weighted learning that use a Gaussian distribution over weight vectors, updated at each observed example to achieve high probability of correct classification for the example. Empirical evaluation on a range of text-categorization tasks show that our algorithms improve over other state-of-the-art online and batch methods, learn faster in the online setting, and lead to better classifier combination for a type of distributed training commonly used in cloud computing.
533.
Celebi, A.; Sak, H.; Dikici, E.; Saraçlar, M.; Lehr, M.; T., E.; Xu, P.; Glenn, N.; Karakos, Damianos; Khudanpur, S.; Roark, B.; Sagae, K.; Shafran, I.; Bikel, D.; Callison-Burch, C.; Cao, Y.; Hall, K.; Hasler, E.; Koehn, P.; Lopez, A.; Post, M.; Riley, D.
Semi-Supervised Discriminative Language Modeling for Turkish ASR Inproceedings
In: Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2012), 2012.
@inproceedings{ws11.paper1,
title = {Semi-Supervised Discriminative Language Modeling for Turkish ASR},
author = {A. Celebi and H. Sak and E. Dikici and M. Saraçlar and M. Lehr and E. T. and P. Xu and N. Glenn and Damianos Karakos and S. Khudanpur and B. Roark and K. Sagae and I. Shafran and D. Bikel and C. Callison-Burch and Y. Cao and K. Hall and E. Hasler and P. Koehn and A. Lopez and M. Post and D. Riley},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2012)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
534.
Zbib, Rabih; Malchiodi, Erika; Devlin, Jacob; Stallard, David; Matsoukas, Spyros; Schwartz, Richard; Makhoul, John; F., Omar; Callison-Burch, Chris
Machine Translation of Arabic Dialects Inproceedings
In: The 2012 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Montreal, 2012.
@inproceedings{Zbib-etal:2012:NAACL,
title = {Machine Translation of Arabic Dialects},
author = {Rabih Zbib and Erika Malchiodi and Jacob Devlin and David Stallard and Spyros Matsoukas and Richard Schwartz and John Makhoul and Omar F. and Chris Callison-Burch},
year = {2012},
date = {2012-01-01},
booktitle = {The 2012 Conference of the North American Chapter of the Association for Computational Linguistics},
publisher = {Association for Computational Linguistics},
address = {Montreal},
abstract = {Arabic dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build Levantine-English and EgyptianEnglish parallel corpora, consisting of 1.1M words and 380k words, respectively. The dialect sentences are selected from a large corpus of Arabic web text, and translated using Mechanical Turk. We use this data to build Dialect Arabic MT systems. Small amounts of dialect data have a dramatic impact on the quality of translation. When translating Egyptian and Levantine test sets, our Dialect Arabic MT system performs 5.8 and 6.8 BLEU points higher than a Modern Standard Arabic MT system trained on a 150 million word Arabic-English parallel corpus – over 100 times the amount of data as our dialect corpora.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Arabic dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build Levantine-English and EgyptianEnglish parallel corpora, consisting of 1.1M words and 380k words, respectively. The dialect sentences are selected from a large corpus of Arabic web text, and translated using Mechanical Turk. We use this data to build Dialect Arabic MT systems. Small amounts of dialect data have a dramatic impact on the quality of translation. When translating Egyptian and Levantine test sets, our Dialect Arabic MT system performs 5.8 and 6.8 BLEU points higher than a Modern Standard Arabic MT system trained on a 150 million word Arabic-English parallel corpus – over 100 times the amount of data as our dialect corpora.
535.
Green, Spence; Andrews, Nicholas; Gormley, Matthew; Dredze, Mark; D., Christopher
Shared Components Topic Models Inproceedings
In: North American Chapter of the Association for Computational Linguistics (NAACL), 2012.
@inproceedings{Green:2012uq,
title = {Shared Components Topic Models},
author = {Spence Green and Nicholas Andrews and Matthew Gormley and Mark Dredze and Christopher D.},
year = {2012},
date = {2012-01-01},
booktitle = {North American Chapter of the Association for Computational Linguistics (NAACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
536.
Irvine, Ann; Weese, Jonathan; Callison-Burch, Chris
Processing Informal, Romanized Pakistani Text Messages Inproceedings
In: Proceedings of the NAACL Workshop on Language in Social Media, Association for Computational Linguistics, Montreal, Canada, 2012.
@inproceedings{IrvineWeeseCallisonburchSMS12,
title = {Processing Informal, Romanized Pakistani Text Messages},
author = {Ann Irvine and Jonathan Weese and Chris Callison-Burch},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the NAACL Workshop on Language in Social Media},
publisher = {Association for Computational Linguistics},
address = {Montreal, Canada},
abstract = {Regardless of language, the standard character set for text messages (SMS) and many other social media platforms is the Roman alphabet. There are romanization conventions for some character sets, but they are used inconsistently in informal text, such as SMS. In this work, we convert informal, romanized Urdu messages into the native Arabic script and normalize non-standard SMS language. Doing so prepares the messages for existing downstream processing tools, such as machine translation, which are typically trained on well-formed, native script text. Our model combines information at the word and character levels, allowing it to handle out-of-vocabulary items. Compared with a baseline deterministic approach, our system reduces both word and character error rate by over 50%.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Regardless of language, the standard character set for text messages (SMS) and many other social media platforms is the Roman alphabet. There are romanization conventions for some character sets, but they are used inconsistently in informal text, such as SMS. In this work, we convert informal, romanized Urdu messages into the native Arabic script and normalize non-standard SMS language. Doing so prepares the messages for existing downstream processing tools, such as machine translation, which are typically trained on well-formed, native script text. Our model combines information at the word and character levels, allowing it to handle out-of-vocabulary items. Compared with a baseline deterministic approach, our system reduces both word and character error rate by over 50%.
537.
Irvine, Ann; Marcellesi, Laure; Zomorodian, Afra
Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text Inproceedings
In: Proceedings of the NAACL Workshop on Computational Linguistics for Literature, Association for Computational Linguistics, Montreal, Canada, 2012.
@inproceedings{IrvineMarcellesiZomorodianFrench12,
title = {Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text},
author = {Ann Irvine and Laure Marcellesi and Afra Zomorodian},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the NAACL Workshop on Computational Linguistics for Literature},
publisher = {Association for Computational Linguistics},
address = {Montreal, Canada},
abstract = {We compare four methods for transcribing early printed texts. Our comparison is through a case-study of digitizing an eighteenth-century French novel for a new critical edition: the 1784 Lettres taïtiennes by Joséphine de Monbart. We provide a detailed error analysis of transcription by optical character recognition (OCR), non-expert humans, and expert humans and weigh each technique based on accuracy, speed, cost and the need for scholarly overhead. Our findings are relevant to 18th-century French scholars as well as the entire community of scholars working to preserve, present, and revitalize interest in literature published before the digital age.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We compare four methods for transcribing early printed texts. Our comparison is through a case-study of digitizing an eighteenth-century French novel for a new critical edition: the 1784 Lettres taïtiennes by Joséphine de Monbart. We provide a detailed error analysis of transcription by optical character recognition (OCR), non-expert humans, and expert humans and weigh each technique based on accuracy, speed, cost and the need for scholarly overhead. Our findings are relevant to 18th-century French scholars as well as the entire community of scholars working to preserve, present, and revitalize interest in literature published before the digital age.
538.
Post, Matt; Callison-Burch, Chris; Osborne, Miles
Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing Inproceedings
In: Proceedings of the Seventh Workshop on Statistical Machine Translation, pp. 401–409, Association for Computational Linguistics, Montr'eal, Canada, 2012.
@inproceedings{post-callisonburch-osborne:2012:WMT,
title = {Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing},
author = {Matt Post and Chris Callison-Burch and Miles Osborne},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the Seventh Workshop on Statistical Machine Translation},
pages = {401--409},
publisher = {Association for Computational Linguistics},
address = {Montr'eal, Canada},
abstract = {Recent work has established the efficacy of Amazon's Mechanical Turk for constructing parallel corpora for machine translation research. We apply this to building a collection of parallel corpora between English and six languages from the Indian subcontinent: Bengali, Hindi, Malayalam, Tamil, Telugu, and Urdu. These languages are low-resource, under-studied, and exhibit linguistic phenomena that are difficult for machine translation. We conduct a variety of baseline experiments and analysis, and release the data to the community.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent work has established the efficacy of Amazon's Mechanical Turk for constructing parallel corpora for machine translation research. We apply this to building a collection of parallel corpora between English and six languages from the Indian subcontinent: Bengali, Hindi, Malayalam, Tamil, Telugu, and Urdu. These languages are low-resource, under-studied, and exhibit linguistic phenomena that are difficult for machine translation. We conduct a variety of baseline experiments and analysis, and release the data to the community.
539.
Weese, Jonathan; Callison-Burch, Chris; Lopez, Adam
Using Categorial Grammar to Label Translation Rules Inproceedings
In: Proceedings of the Seventh Workshop on Statistical Machine Translation, pp. 222–231, Association for Computational Linguistics, Montr'eal, Canada, 2012.
@inproceedings{weese-callisonburch-lopez:2012:WMT,
title = {Using Categorial Grammar to Label Translation Rules},
author = {Jonathan Weese and Chris Callison-Burch and Adam Lopez},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the Seventh Workshop on Statistical Machine Translation},
pages = {222--231},
publisher = {Association for Computational Linguistics},
address = {Montr'eal, Canada},
abstract = {Adding syntactic labels to synchronous context-free translation rules can improve performance, but labeling with phrase structure constituents, as in GHKM (Galley et al., 2004), excludes potentially useful translation rules. SAMT (Zollmann and Venugopal, 2006) introduces heuristics to create new non-constituent labels, but these heuristics introduce many complex labels and tend to add rarely-applicable rules to the translation grammar. We introduce a labeling scheme based on categorial grammar, which allows syntactic labeling of many rules with a minimal, well-motivated label set. We show that our labeling scheme performs comparably to SAMT on an Urdu–English translation task, yet the label set is an order of magnitude smaller, and translation is twice as fast.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Adding syntactic labels to synchronous context-free translation rules can improve performance, but labeling with phrase structure constituents, as in GHKM (Galley et al., 2004), excludes potentially useful translation rules. SAMT (Zollmann and Venugopal, 2006) introduces heuristics to create new non-constituent labels, but these heuristics introduce many complex labels and tend to add rarely-applicable rules to the translation grammar. We introduce a labeling scheme based on categorial grammar, which allows syntactic labeling of many rules with a minimal, well-motivated label set. We show that our labeling scheme performs comparably to SAMT on an Urdu–English translation task, yet the label set is an order of magnitude smaller, and translation is twice as fast.
540.
Ganitkevitch, Juri; Cao, Yuan; Weese, Jonathan; Post, Matt; Callison-Burch, Chris
Joshua 4.0: Packing, PRO, and Paraphrases Inproceedings
In: Proceedings of the Seventh Workshop on Statistical Machine Translation, pp. 283–291, Association for Computational Linguistics, Montr'eal, Canada, 2012.
@inproceedings{ganitkevitch-EtAl:2012:WMT,
title = {Joshua 4.0: Packing, PRO, and Paraphrases},
author = {Juri Ganitkevitch and Yuan Cao and Jonathan Weese and Matt Post and Chris Callison-Burch},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the Seventh Workshop on Statistical Machine Translation},
pages = {283--291},
publisher = {Association for Computational Linguistics},
address = {Montr'eal, Canada},
abstract = {We present Joshua 4.0, the newest version of our open-source decoder for parsing-based statistical machine translation. The main contributions in this release are the introduction of a compact grammar representation based on packed tries, and the integration of our implementation of pairwise ranking optimization, J-PRO. We further present the extension of the Thrax SCFG grammar extractor to pivot-based extraction of syntactically informed sentential paraphrases.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present Joshua 4.0, the newest version of our open-source decoder for parsing-based statistical machine translation. The main contributions in this release are the introduction of a compact grammar representation based on packed tries, and the integration of our implementation of pairwise ranking optimization, J-PRO. We further present the extension of the Thrax SCFG grammar extractor to pivot-based extraction of syntactically informed sentential paraphrases.
1345 entries « ‹ 27 of 68
› » 1345 entries « ‹ 27 of 27
› » 1989
Boahen, KA; Andreou, Andreas; Pouliquen, PO; Pavasovic, A
Architectures for associative memories using current-mode analog MOS circuits Journal Article
In: pp. 175–193, 1989.
@article{Boahen:1989uk,
title = {Architectures for associative memories using current-mode analog MOS circuits},
author = {KA Boahen and Andreas Andreou and PO Pouliquen and A Pavasovic},
year = {1989},
date = {1989-01-01},
pages = {175--193},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Boahen, KA; Pouliquen, PO; Andreou, Andreas; Jenkins, RE
A heteroassociative memory using current-mode MOS analog VLSI circuits Journal Article
In: pp. 747–755, 1989.
@article{Boahen:1989wq,
title = {A heteroassociative memory using current-mode MOS analog VLSI circuits},
author = {KA Boahen and PO Pouliquen and Andreas Andreou and RE Jenkins},
year = {1989},
date = {1989-01-01},
pages = {747--755},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
1988
Hermansky, Hynek; Junqua, J.
Optimization of Perceptually Based ASR Front End Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, York, NY, 1988.
@inproceedings{Hermansky1988Optimization,
title = {Optimization of Perceptually Based ASR Front End},
author = {Hynek Hermansky and J. Junqua},
year = {1988},
date = {1988-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {York, NY},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Khudanpur, Sanjeev
Design and Implementation of an Ethernet Communications Controller for IBM Compatible Personal Computers Technical Report
Bombay, India, 1988.
@techreport{khudanpur1988design,
title = {Design and Implementation of an Ethernet Communications Controller for IBM Compatible Personal Computers},
author = {Sanjeev Khudanpur},
year = {1988},
date = {1988-01-01},
publisher = {Bachelor of Technology Project, Department of Electrical Engineering},
address = {Bombay, India},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
1987
Hermansky, Hynek
Automatic Speech Recognition and Human Auditory Perception Inproceedings
In: Proceedings of the European Conference on Speech Communication and Technology, Edinburgh, Scotland, 1987.
@inproceedings{Hermansky1987Automatic,
title = {Automatic Speech Recognition and Human Auditory Perception},
author = {Hynek Hermansky},
year = {1987},
date = {1987-01-01},
booktitle = {Proceedings of the European Conference on Speech Communication and Technology},
address = {Edinburgh, Scotland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek
Role of Relative Positions of Formant and Harmonic Peaks in Perception of Vowel-Like Stimuli Technical Report
Barbara, CA, 1987.
@techreport{Hermansky1987Role,
title = {Role of Relative Positions of Formant and Harmonic Peaks in Perception of Vowel-Like Stimuli},
author = {Hynek Hermansky},
year = {1987},
date = {1987-01-01},
booktitle = {STL Technical Reports},
address = {Barbara, CA},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Hermansky, Hynek
An Efficient Speaker-Independent Automatic Speech Recognition By Simulation of Some Properties of Human Auditory Processing Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, Dallas, TX, 1987.
@inproceedings{Hermansky1987An,
title = {An Efficient Speaker-Independent Automatic Speech Recognition By Simulation of Some Properties of Human Auditory Processing},
author = {Hynek Hermansky},
year = {1987},
date = {1987-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {Dallas, TX},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Javkin, H.; Hermansky, Hynek; Wakita, H.
Interaction Between Formant and Harmonic Peaks in Vowel Perception Inproceedings
In: Proceedings of Eleventh International Congress of Phonetic Sciences, Tallin, Estonia, 1987.
@inproceedings{Javkin1987Interaction,
title = {Interaction Between Formant and Harmonic Peaks in Vowel Perception},
author = {H. Javkin and Hynek Hermansky and H. Wakita},
year = {1987},
date = {1987-01-01},
booktitle = {Proceedings of Eleventh International Congress of Phonetic Sciences},
address = {Tallin, Estonia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1986
Hermansky, Hynek; Tsuga, K.; Makino, S.; Wakita, H.
Perceptually Based Processing in Automatic Speech Recognition Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, Tokyo, Japan, 1986.
@inproceedings{Hermansky1986Perceptually,
title = {Perceptually Based Processing in Automatic Speech Recognition},
author = {Hynek Hermansky and K. Tsuga and S. Makino and H. Wakita},
year = {1986},
date = {1986-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {Tokyo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1985
Hermansky, Hynek; Hanson, B.; Wakita, H.
Perceptually Based Linear Predictive Analysis of Speech Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, Tampa, FL, 1985.
@inproceedings{Hermansky1985Perceptually,
title = {Perceptually Based Linear Predictive Analysis of Speech},
author = {Hynek Hermansky and B. Hanson and H. Wakita},
year = {1985},
date = {1985-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {Tampa, FL},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Hanson, B.; Wakita, H.; Fujisaki, H.
Linear Predictive Modeling of Speech in Modified Spectral Domains Inproceedings
In: Proceedings of International Conference on Digital Processg of Signals Communications, Loughbrorough, England, 1985.
@inproceedings{Hermansky1985Linear,
title = {Linear Predictive Modeling of Speech in Modified Spectral Domains},
author = {Hynek Hermansky and B. Hanson and H. Wakita and H. Fujisaki},
year = {1985},
date = {1985-01-01},
booktitle = {Proceedings of International Conference on Digital Processg of Signals Communications},
address = {Loughbrorough, England},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1984
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Spectral Envelope Sampling and Interpolation in Linear Predictive Analysis of Speech Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, Diego, CA, 1984.
@inproceedings{Hermansky1984Spectral,
title = {Spectral Envelope Sampling and Interpolation in Linear Predictive Analysis of Speech},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1984},
date = {1984-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {Diego, CA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1983
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Analysis and Synthesis of Speech Based on Spectral Transform Linear Predictive Method Inproceedings
In: Proceedings of the IEEE International Conference on Acoustics, Boston, MA, 1983.
@inproceedings{Hermansky1983Analysis,
title = {Analysis and Synthesis of Speech Based on Spectral Transform Linear Predictive Method},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1983},
date = {1983-01-01},
booktitle = {Proceedings of the IEEE International Conference on Acoustics},
address = {Boston, MA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Spectral Transform Linear Predictive Analysis for Analysis-Synthesis of Speech Inproceedings
In: Proceedings of 11e Congress International d'Acoustique, Paris, France, 1983.
@inproceedings{Hermansky1983Spectral,
title = {Spectral Transform Linear Predictive Analysis for Analysis-Synthesis of Speech},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1983},
date = {1983-01-01},
booktitle = {Proceedings of 11e Congress International d'Acoustique},
address = {Paris, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Speech Analysis-Synthesis System Based on STLP Method Inproceedings
In: Proceedings of the Sprg Meetg of the Acoustical Society of Japan, Japan, Tokyo, 1983.
@inproceedings{Hermansky1983Speech,
title = {Speech Analysis-Synthesis System Based on STLP Method},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1983},
date = {1983-01-01},
booktitle = {Proceedings of the Sprg Meetg of the Acoustical Society of Japan},
address = {Japan, Tokyo},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1982
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
On Analysis of Real Speech Based on STLP Method Inproceedings
In: Proceedings of the Sprg Meetg of the Acoustical Society of Japan, Nagaoka, Japan, 1982.
@inproceedings{Hermansky1982On,
title = {On Analysis of Real Speech Based on STLP Method},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1982},
date = {1982-01-01},
booktitle = {Proceedings of the Sprg Meetg of the Acoustical Society of Japan},
address = {Nagaoka, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Spectral Envelope Sampling in Linear Predictive Analysis of Speech Inproceedings
In: Proceedings of the Sprg Meetg of the Acoustical Society of Japan, Tokyo, Japan, 1982.
@inproceedings{Hermansky1982Spectral,
title = {Spectral Envelope Sampling in Linear Predictive Analysis of Speech},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1982},
date = {1982-01-01},
booktitle = {Proceedings of the Sprg Meetg of the Acoustical Society of Japan},
address = {Tokyo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.
Spectral Transforms in Linear Prediction Inproceedings
In: Proceedings of the Annual Meetg of the Institute of Electronics and Communication Engeers of Japan, Tokyo, Japan, 1982.
@inproceedings{Hermansky1982Spectralb,
title = {Spectral Transforms in Linear Prediction},
author = {Hynek Hermansky and H. Fujisaki},
year = {1982},
date = {1982-01-01},
booktitle = {Proceedings of the Annual Meetg of the Institute of Electronics and Communication Engeers of Japan},
address = {Tokyo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek
Improved Linear Predictive Analysis of Speech Based on Spectral Processing Inproceedings
In: Dr. Eng. Thesis, Tokyo, Japan, 1982.
@inproceedings{Hermansky12Improved,
title = {Improved Linear Predictive Analysis of Speech Based on Spectral Processing},
author = {Hynek Hermansky},
year = {1982},
date = {1982-01-01},
booktitle = {Dr. Eng. Thesis},
address = {Tokyo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.; Sato, Y.
Sampling and Interpolation of Spectral Envelopes in Linear Predictive Analysis of Speech Inproceedings
In: Transactions of the Committee on Speech Research, pp. 97-104, 1982.
@inproceedings{Hermansky97-104Sampling,
title = {Sampling and Interpolation of Spectral Envelopes in Linear Predictive Analysis of Speech},
author = {Hynek Hermansky and H. Fujisaki and Y. Sato},
year = {1982},
date = {1982-01-01},
booktitle = {Transactions of the Committee on Speech Research},
pages = {97-104},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
1981
Hermansky, Hynek; Fujisaki, H.
Spectral Transforms in Linear Predictive Analysis Inproceedings
In: Proceedings of the Fall Meetg of the Acoustical Society of Japan, Kagoshima, Japan, 1981.
@inproceedings{Hermansky1981Spectral,
title = {Spectral Transforms in Linear Predictive Analysis},
author = {Hynek Hermansky and H. Fujisaki},
year = {1981},
date = {1981-01-01},
booktitle = {Proceedings of the Fall Meetg of the Acoustical Society of Japan},
address = {Kagoshima, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.
LPC Methods in the Short Time Analysis of Voiced Speech Inproceedings
In: Proceedings of the Sprg Meetg of the Acoustical Society of Japan, Japan, Tokyo, 1981.
@inproceedings{Hermansky1981LPC,
title = {LPC Methods in the Short Time Analysis of Voiced Speech},
author = {Hynek Hermansky and H. Fujisaki},
year = {1981},
date = {1981-01-01},
booktitle = {Proceedings of the Sprg Meetg of the Acoustical Society of Japan},
address = {Japan, Tokyo},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hermansky, Hynek; Fujisaki, H.
The Effect of Spectral Transforms in Linear Predictive Analysis of Speech Journal Article
In: pp. 365-372, 1981.
@article{Hermansky1981The,
title = {The Effect of Spectral Transforms in Linear Predictive Analysis of Speech},
author = {Hynek Hermansky and H. Fujisaki},
year = {1981},
date = {1981-01-01},
booktitle = {Transactions of the Committee on Speech Research},
pages = {365-372},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
1980
Hermansky, Hynek; Fujisaki, H.
Acoustic Characteristics of Czech Vowels, Research on Human Information Processing Inproceedings
In: Proceedings of the Fall Meetg of the Acoustical Society of Japan, Shimizu, Japan, 1980.
@inproceedings{Hermansky1980Acoustic,
title = {Acoustic Characteristics of Czech Vowels, Research on Human Information Processing},
author = {Hynek Hermansky and H. Fujisaki},
year = {1980},
date = {1980-01-01},
booktitle = {Proceedings of the Fall Meetg of the Acoustical Society of Japan},
address = {Shimizu, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
0000
Rush, A. M.; Sontag, D.; Collins, M.; Jaakkola, T.; Huang, Z.; Harper, M.; Petrov, S.; Cheung, J. C. K.; Penn, G.; Martins, A.; others others,
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing$$ Journal Article
In: 0000.
@article{rush2010proceedings,
title = {Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing$$},
author = {A.M. Rush and D. Sontag and M. Collins and T. Jaakkola and Z. Huang and M. Harper and S. Petrov and J.C.K. Cheung and G. Penn and A. Martins and others others},
publisher = {Association for Computational Linguistics$$},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sakaguchi, Keisuke; Post, Matt; Van Durme, Benjamin
Efficient Elicitation of Annotations for Human Evaluation of Machine Translation Inproceedings
In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 1–11, Association for Computational Linguistics, Baltimore, Maryland, USA, 0000.
@inproceedings{sakaguchi-post-vandurme:2014:W14-33,
title = {Efficient Elicitation of Annotations for Human Evaluation of Machine Translation},
author = {Sakaguchi, Keisuke and Post, Matt and Van Durme, Benjamin},
url = {http://www.aclweb.org/anthology/W14-3301},
booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},
pages = {1--11},
publisher = {Association for Computational Linguistics},
address = {Baltimore, Maryland, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Manohar, Vimal; Srinivas, C. B.; Umesh, S.
Acoustic modeling using transform-based phone-cluster adaptive training Inproceedings
In: Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on, pp. 49-54, 0000.
@inproceedings{6707704,
title = {Acoustic modeling using transform-based phone-cluster adaptive training},
author = {Vimal Manohar and C.B. Srinivas and S. Umesh},
booktitle = {Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on},
pages = {49-54},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Blaschko, Matthew; Girshick, Ross B.; Kannala, Juho; Kokkinos, Iasonas; Mahendran, Siddarth; Maji, Subhransu; Mohamed, Sammy; Rahtu, Esa; Saphra, Naomi; Simonyan, Karen; others others,
Towards a detailed understanding of objects and scenes in natural images Journal Article
In: 0000.
@article{blaschko_towards_2012,
title = {Towards a detailed understanding of objects and scenes in natural images},
author = {Matthew Blaschko and Ross B. Girshick and Juho Kannala and Iasonas Kokkinos and Siddarth Mahendran and Subhransu Maji and Sammy Mohamed and Esa Rahtu and Saphra, Naomi and Karen Simonyan and others others},
url = {http://hal.archives-ouvertes.fr/hal-00776027/},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rudinger, Rachel; Van Durme, Benjamin
Is the Stanford Dependency Representation Semantic? Inproceedings
In: Association for Computational Linguistics (ACL), Workshop on EVENTS, 0000.
@inproceedings{RudingerVanDurmeACL14,
title = {Is the Stanford Dependency Representation Semantic?},
author = {Rudinger, Rachel and Van Durme, Benjamin},
url = {http://www.ling.uni-potsdam.de/~koller/aclpub/W14-29/cdrom/W14-29-2014.pdf#page=64},
booktitle = {Association for Computational Linguistics (ACL), Workshop on EVENTS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Saphra, Naomi; Lopez, Adam
AMRICA: an AMR Inspector for Cross-language Alignments Inproceedings
In: Proc. of NAACL, 0000.
@inproceedings{naomi_saphra_amrica:_2015,
title = {AMRICA: an AMR Inspector for Cross-language Alignments},
author = {Naomi Saphra and Lopez, Adam},
booktitle = {Proc. of NAACL},
abstract = {Abstract Meaning Representation (AMR), an annotation scheme for natural language semantics, has drawn attention for its simplicity and representational power. Because AMR annotations are not designed for human readability, we present AMRICA, a visual aid for exploration of AMR annotations. AMRICA can visualize an AMR or the difference between two AMRs to help users diagnose interannotator disagreement or errors from an AMR parser. AMRICA can also automatically align and visualize the AMRs of a sentence and its translation in a parallel text. We believe AMRICA will simplify and streamline exploratory research on cross-lingual AMR corpora.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Abstract Meaning Representation (AMR), an annotation scheme for natural language semantics, has drawn attention for its simplicity and representational power. Because AMR annotations are not designed for human readability, we present AMRICA, a visual aid for exploration of AMR annotations. AMRICA can visualize an AMR or the difference between two AMRs to help users diagnose interannotator disagreement or errors from an AMR parser. AMRICA can also automatically align and visualize the AMRs of a sentence and its translation in a parallel text. We believe AMRICA will simplify and streamline exploratory research on cross-lingual AMR corpora.
Paul, Michael J; Chisolm, Margaret S; Johnson, Matthew W; Vandrey, Ryan G; Dredze, Mark
Assessing the validity of online drug forums as a source for estimating demographic and temporal trends in drug use Journal Article
In: Journal of Addiction Medicine, vol. 10, no. 5, pp. 324–330, 0000.
@article{Michael-J.-Paul:2016fpb,
title = {Assessing the validity of online drug forums as a source for estimating demographic and temporal trends in drug use},
author = {Michael J Paul and Margaret S Chisolm and Matthew W Johnson and Ryan G Vandrey and Mark Dredze},
journal = {Journal of Addiction Medicine},
volume = {10},
number = {5},
pages = {324--330},
abstract = {Objectives: Addiction researchers have begun monitoring online forums to uncover self-reported details about use and effects of emerging drugs. The use of such online data sources has not been validated against data from large epidemiological surveys. This study aimed to characterize and compare the demographic and temporal trends associated with drug use as reported in online forums and in a large epidemiological survey. Methods: Data were collected from the website, drugs-forum.com, from January 2007 through August 2012 (143,416 messages posted by 8,087 members) and from the United States National Survey on Drug Use and Health (NSDUH) from 2007-2012. Measures of forum participation levels were compared with and validated against two measures from the NSDUH survey data: percentage of people using the drug in last 30 days and percentage using the drug more than 100 times in the past year. Results: For established drugs (e.g., cannabis), significant correlations were found across demographic groups between drugs-forum.com and the NSDUH survey data, while weaker, non-significant correlations were found with temporal trends. Emerging drugs (e.g., Salvia divinorum) were strongly associated with male users in the forum, in agreement with survey-derived data, and had temporal patterns that increased in synchrony with poison control reports. Conclusions: These results offer the first assessment of online drug forums as a valid source for estimating demographic and temporal trends in drug use. The analyses suggest that online forums are a reliable source for estimation of demographic associations and early identification of emerging drugs, but a less reliable source for measurement of long-term temporal trends.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objectives: Addiction researchers have begun monitoring online forums to uncover self-reported details about use and effects of emerging drugs. The use of such online data sources has not been validated against data from large epidemiological surveys. This study aimed to characterize and compare the demographic and temporal trends associated with drug use as reported in online forums and in a large epidemiological survey. Methods: Data were collected from the website, drugs-forum.com, from January 2007 through August 2012 (143,416 messages posted by 8,087 members) and from the United States National Survey on Drug Use and Health (NSDUH) from 2007-2012. Measures of forum participation levels were compared with and validated against two measures from the NSDUH survey data: percentage of people using the drug in last 30 days and percentage using the drug more than 100 times in the past year. Results: For established drugs (e.g., cannabis), significant correlations were found across demographic groups between drugs-forum.com and the NSDUH survey data, while weaker, non-significant correlations were found with temporal trends. Emerging drugs (e.g., Salvia divinorum) were strongly associated with male users in the forum, in agreement with survey-derived data, and had temporal patterns that increased in synchrony with poison control reports. Conclusions: These results offer the first assessment of online drug forums as a valid source for estimating demographic and temporal trends in drug use. The analyses suggest that online forums are a reliable source for estimation of demographic associations and early identification of emerging drugs, but a less reliable source for measurement of long-term temporal trends.
Dredze, Mark H; Schilit, William N
Facet suggestion for search query augmentation Patent
0000, (US Patent 8,433,705).
@patent{dredze2013facetc,
title = {Facet suggestion for search query augmentation},
author = {Mark H Dredze and William N Schilit},
publisher = {Google Patents},
note = {US Patent 8,433,705},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Hadian, Hossein; Sameti, Hossein; Povey, Daniel; Khudanpur, Sanjeev
TOWARDS DISCRIMINATIVELY-TRAINED HMM-BASED END-TO-END MODELS FOR AUTOMATIC SPEECH RECOGNITION Journal Article
In: 0000.
@article{hadiantowards,
title = {TOWARDS DISCRIMINATIVELY-TRAINED HMM-BASED END-TO-END MODELS FOR AUTOMATIC SPEECH RECOGNITION},
author = {Hossein Hadian and Hossein Sameti and Daniel Povey and Sanjeev Khudanpur},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ghahremani, Pegah; Manohar, Vimal; Hadian, Hossein; Povey, Daniel; Khudanpur, Sanjeev
INVESTIGATION OF TRANSFER LEARNING FOR ASR USING LF-MMI TRAINED NEURAL NETWORKS Journal Article
In: 0000.
@article{ghahremaniinvestigation,
title = {INVESTIGATION OF TRANSFER LEARNING FOR ASR USING LF-MMI TRAINED NEURAL NETWORKS},
author = {Pegah Ghahremani and Vimal Manohar and Hossein Hadian and Daniel Povey and Sanjeev Khudanpur},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hori, Takaaki; Watanabe, Shinji; Zhang, Yu; Chan, William
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM Inproceedings
In: Proc. Interspeech 2017, pp. 949–953 year=2017, 0000.
@inproceedings{hori2017advances,
title = {Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM},
author = {Takaaki Hori and Shinji Watanabe and Yu Zhang and William Chan},
booktitle = {Proc. Interspeech 2017},
pages = {949--953 year=2017},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wang, Dingquan; Eisner, Jason
Surface Statistics of an Unknown Language Indicate How
to Parse It Journal Article
In: Transactions of the Association for Computational
Linguistics (TACL), 0000, ISSN: 2307-387X.
@article{wang-eisner-2018-tacl,
title = {Surface Statistics of an Unknown Language Indicate How
to Parse It},
author = {Dingquan Wang and Jason Eisner},
url = {http://cs.jhu.edu/~jason/papers/#wang-eisner-2018-tacl},
issn = {2307-387X},
journal = {Transactions of the Association for Computational
Linguistics (TACL)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Paul, Michael J; Chisolm, Margaret S; Johnson, Matthew W; Vandrey, Ryan G; Dredze, Mark
Assessing the validity of online drug forums as a source for estimating demographic and temporal trends in drug use Journal Article
In: Journal of Addiction Medicine, vol. 10, no. 5, pp. 324–330, 0000.
@article{Michael-J.-Paul:2016fpc,
title = {Assessing the validity of online drug forums as a source for estimating demographic and temporal trends in drug use},
author = {Michael J Paul and Margaret S Chisolm and Matthew W Johnson and Ryan G Vandrey and Mark Dredze},
journal = {Journal of Addiction Medicine},
volume = {10},
number = {5},
pages = {324--330},
abstract = {Objectives: Addiction researchers have begun monitoring online forums to uncover self-reported details about use and effects of emerging drugs. The use of such online data sources has not been validated against data from large epidemiological surveys. This study aimed to characterize and compare the demographic and temporal trends associated with drug use as reported in online forums and in a large epidemiological survey. Methods: Data were collected from the website, drugs-forum.com, from January 2007 through August 2012 (143,416 messages posted by 8,087 members) and from the United States National Survey on Drug Use and Health (NSDUH) from 2007-2012. Measures of forum participation levels were compared with and validated against two measures from the NSDUH survey data: percentage of people using the drug in last 30 days and percentage using the drug more than 100 times in the past year. Results: For established drugs (e.g., cannabis), significant correlations were found across demographic groups between drugs-forum.com and the NSDUH survey data, while weaker, non-significant correlations were found with temporal trends. Emerging drugs (e.g., Salvia divinorum) were strongly associated with male users in the forum, in agreement with survey-derived data, and had temporal patterns that increased in synchrony with poison control reports. Conclusions: These results offer the first assessment of online drug forums as a valid source for estimating demographic and temporal trends in drug use. The analyses suggest that online forums are a reliable source for estimation of demographic associations and early identification of emerging drugs, but a less reliable source for measurement of long-term temporal trends.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Objectives: Addiction researchers have begun monitoring online forums to uncover self-reported details about use and effects of emerging drugs. The use of such online data sources has not been validated against data from large epidemiological surveys. This study aimed to characterize and compare the demographic and temporal trends associated with drug use as reported in online forums and in a large epidemiological survey. Methods: Data were collected from the website, drugs-forum.com, from January 2007 through August 2012 (143,416 messages posted by 8,087 members) and from the United States National Survey on Drug Use and Health (NSDUH) from 2007-2012. Measures of forum participation levels were compared with and validated against two measures from the NSDUH survey data: percentage of people using the drug in last 30 days and percentage using the drug more than 100 times in the past year. Results: For established drugs (e.g., cannabis), significant correlations were found across demographic groups between drugs-forum.com and the NSDUH survey data, while weaker, non-significant correlations were found with temporal trends. Emerging drugs (e.g., Salvia divinorum) were strongly associated with male users in the forum, in agreement with survey-derived data, and had temporal patterns that increased in synchrony with poison control reports. Conclusions: These results offer the first assessment of online drug forums as a valid source for estimating demographic and temporal trends in drug use. The analyses suggest that online forums are a reliable source for estimation of demographic associations and early identification of emerging drugs, but a less reliable source for measurement of long-term temporal trends.
Dredze, Mark; Schilit, Bill
Facet suggestion for search query augmentation Patent
0000, (US Patent 8,433,705).
@patent{dredze2013facetd,
title = {Facet suggestion for search query augmentation},
author = {Mark Dredze and Bill Schilit},
publisher = {Google Patents},
note = {US Patent 8,433,705},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Knowles, Rebecca; Koehn, Philipp
Context and Copying in Neural Machine Translation Inproceedings
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3034–3041, Association for Computational Linguistics, Brussels, Belgium, 0000.
@inproceedings{knowles-koehn:2018:EMNLP,
title = {Context and Copying in Neural Machine Translation},
author = {Rebecca Knowles and Philipp Koehn},
url = {http://www.aclweb.org/anthology/D18-1339},
booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
pages = {3034--3041},
publisher = {Association for Computational Linguistics},
address = {Brussels, Belgium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
May, Chandler; Clemmer, Alex; Durme, Benjamin Van
Particle Filter Rejuvenation and Latent Dirichlet Allocation Inproceedings
In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 0000.
@inproceedings{may2014,
title = {Particle Filter Rejuvenation and Latent Dirichlet Allocation},
author = {Chandler May and Alex Clemmer and Benjamin Van Durme},
url = {http://www.aclweb.org/anthology/P14-2073},
booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Dredze, Mark H; Schilit, William N
Facet suggestion for search query augmentation Patent
0000, (US Patent 8,433,705).
@patent{dredze2013facet,
title = {Facet suggestion for search query augmentation},
author = {Mark H Dredze and William N Schilit},
publisher = {Google Patents},
note = {US Patent 8,433,705},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Dredze, Mark H; Schilit, William N
Facet suggestion for search query augmentation Patent
0000, (US Patent 8,433,705).
@patent{dredze2013facetb,
title = {Facet suggestion for search query augmentation},
author = {Mark H Dredze and William N Schilit},
publisher = {Google Patents},
note = {US Patent 8,433,705},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Khudanpur, Sanjeev; Povey, Daniel; Peddinti, Vijayaditya; Seltzer, Michael L.
A study on data augmentation of reverberant speech for robust speech recognition Conference
0000.
@conference{Khudanpur2017,
title = {A study on data augmentation of reverberant speech for robust speech recognition},
author = {Sanjeev Khudanpur and Daniel Povey and Vijayaditya Peddinti and Michael L. Seltzer },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Snyder, David; Ghahremani, Pegah; Povey, Daniel; Garcia-Romero, Daniel; Carmiel, Yishay; Khudanpur, Sanjeev
DEEP NEURAL NETWORK-BASED SPEAKER EMBEDDINGS FOR END-TO-END SPEAKER VERIFICATION Journal Article
In: 0000.
@article{snyderdeep,
title = {DEEP NEURAL NETWORK-BASED SPEAKER EMBEDDINGS FOR END-TO-END SPEAKER VERIFICATION},
author = {David Snyder and Pegah Ghahremani and Daniel Povey and Daniel Garcia-Romero and Yishay Carmiel and Sanjeev Khudanpur},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Peddinti, Vimal Manohar Vijayaditya; Wang, Yiming; Povey, Daniel; Khudanpur, Sanjeev
Far-field ASR without parallel data Journal Article
In: 0000.
@article{vijayadityafar,
title = {Far-field ASR without parallel data},
author = {Vimal Manohar Vijayaditya Peddinti and Yiming Wang and Daniel Povey and Sanjeev Khudanpur},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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