'13 Reasons Why' prompts spike in suicide-related web searches, concerns about copycats

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A Boost from Amazon

The Alexa Fund Fellowship will support a doctoral student in CLSP who will mentor students in a master’s degree program that focuses on human language technology, including speech recognition and text understanding.

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Voice technology education at Johns Hopkins gets a boost from Amazon

The Alexa Fund Fellowship will support a doctoral student, called the Alexa Fellow.

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CLSP members win Best Long Paper and Outstanding Short Paper at ACL 2017

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Johns Hopkins scientists to build machine translation system for obscure languages

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Upcoming Seminars

Oct
20
Fri
12:00 pm Sharon Gannot (Bar-Ilan Universi... @ Hackerman Hall B17
Sharon Gannot (Bar-Ilan Universi... @ Hackerman Hall B17
Oct 20 @ 12:00 pm – 1:15 pm
Abstract In this study, we present a deep mixture of experts (DMoE) neural-network architecture for single microphone speech enhancement. By contrast to many speech enhancement algorithms that overlook the spectral variability of the speech signal,[...]
Oct
24
Tue
12:00 pm Katharina Kann (LMU Munich) “Low... @ Hackerman Hall B17
Katharina Kann (LMU Munich) “Low... @ Hackerman Hall B17
Oct 24 @ 12:00 pm – 1:15 pm
Abstract As languages other than English are moving more and more into the focus of NLP, accurate handling of morphology is getting constantly more important. This talk presents approaches to morphological generation, casting morphological inflection[...]
Nov
7
Tue
12:00 pm Jeffrey Siskind (Purdue University) @ Hackerman Hall B17
Jeffrey Siskind (Purdue University) @ Hackerman Hall B17
Nov 7 @ 12:00 pm – 1:15 pm
Abstract Humans can describe observations and act upon requests.  This requires that language be grounded in perception and motor control.  I will present several components of my long-term research program to understand the vision-language-motor interface[...]
Nov
14
Tue
12:00 pm Luke Zettlemoyer (University of ... @ Hackerman Hall B17
Luke Zettlemoyer (University of ... @ Hackerman Hall B17
Nov 14 @ 12:00 pm – 1:15 pm
Abstract Deep learning with large supervised training sets has had significant impact on many research challenges, from speech recognition to machine translation. However, applying these ideas to problems in computational semantics has been difficult, at[...]

Center for Language and Speech Processing