Seminars

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Panos Georgiou (USC) “Speech Processing & Machine Learning for Behavior Analysis” 12:00 pm
Panos Georgiou (USC) “Speech Processing & Machine Learning for Behavior Analysis” @ Hackerman Hall B17
Oct 5 @ 12:00 pm – 1:15 pm
Abstract The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling[...]
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Gautham Mysore (Adobe Research) “Simplifying the Creation of Voice-based Content” 12:00 pm
Gautham Mysore (Adobe Research) “Simplifying the Creation of Voice-based Content” @ Hackerman Hall B17
Oct 8 @ 12:00 pm – 1:15 pm
Abstract Voice-based content such as podcasts, radio stories, audiobooks, vlogs, and lecture videos are very prevalent these days. However, creating high quality content can be quite challenging, especially for novices. High quality recording equipment and[...]
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Jon Barker (University of Sheffield) “Distant Microphone Conversational Speech Recognition in Domestic Environments: Some Initital Outcomes of the 5th CHiME Challenge” 12:00 pm
Jon Barker (University of Sheffield) “Distant Microphone Conversational Speech Recognition in Domestic Environments: Some Initital Outcomes of the 5th CHiME Challenge” @ Hackerman Hall B17
Oct 19 @ 12:00 pm – 1:15 pm
Abstract The CHiME challenge series has been aiming to advance robust automatic speech recognition technology by promoting research at the interface of speech and language processing, signal processing and machine learning. This talk presents the[...]
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Jennifer Chu-Carroll (Elemental Cognition)”Dialoguing to a Better Understanding” 12:00 pm
Jennifer Chu-Carroll (Elemental Cognition)”Dialoguing to a Better Understanding” @ hackerman Hall B17
Oct 22 @ 12:00 pm – 1:15 pm
Abstract Language understanding has long been a holy grail of Artificial Intelligence, but what exactly constitutes understanding? We argue that while the level of understanding required depends on the task, in many useful NLP applications,[...]
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Tamara Broderick (MIT) “Automated Scalable Bayesian Inference via Data Summarization” 12:00 pm
Tamara Broderick (MIT) “Automated Scalable Bayesian Inference via Data Summarization” @ Hackerman Hall B17
Oct 26 @ 12:00 pm – 1:15 pm
Abstract The use of Bayesian methods in large-scale data settings is attractive because of the rich hierarchical relationships, uncertainty quantification, and prior specification these methods provide. Many standard Bayesian inference algorithms are often computationally expensive,[...]
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Center for Language and Speech Processing