[Legacy Report] DL on 'Enriched Spoken Language Processing and Applications '

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The human speech signal is unique in the sense that it carries crucial information about not only communication intent and speaker identity but also underlying expressions and emotions. Automatically processing and decoding spoken language hence is a vastly challenging, and an inherently interdisciplinary, multifaceted endeavor. Recent technological approaches that have leveraged judicious use of both data and knowledge have yielded significant advances in this regards--beyond merely extracting underlying lexical information using automatic speech to text transcription--especially in terms of deriving rich information about prosody, discourse, and affect. This talk will focus on some of the advances and open challenges in creating algorithms for machine processing of spoken language including their applications in areas such as enriched speech translation and behavioral informatics.

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