{"651849":{"#nid":"651849","#data":{"type":"event","title":"Center for Signal and Information Processing Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Friday, Oct. 29, 2021\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E 3:00 pm to 4:00 pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBlueJeans Link:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/4658604304\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/bluejeans.com\/4658604304\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Jinyu Li\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAffiliation:\u003C\/strong\u003E Microsoft Corporation, Redmond, Washington\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Advances in end-to-end automatic speech recognition\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Jinyu Li received a Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 2008. Currently, he is a Partner Applied Scientist and Technical Lead in Microsoft Corporation, Redmond, Washington, USA. He leads a team to design and improve speech modeling algorithms and technologies that ensure industry state-of-the-art speech recognition accuracy for Microsoft. His major research interests cover several topics in speech recognition, including end-to-end modeling, deep learning, noise robustness, etc. He is the leading author of the book \u0026quot;Robust Automatic Speech Recognition -- A Bridge to Practical Applications\u0026quot;, Academic Press, Oct, 2015. He is the member of IEEE Speech and Language Processing Technical Committee since 2017. He also served as the associate editor of IEEE\/ACM Transactions on Audio, Speech, and Language Processing from 2015 to 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Recently, the speech community is seeing a significant trend of moving from deep neural network-based hybrid modeling to end-to-end (E2E) modeling for automatic speech recognition (ASR). While E2E models\u0026nbsp; achieve the state-of-the-art results in most benchmarks in terms of ASR accuracy, hybrid models are still used in a large proportion of\u0026nbsp; commercial ASR systems at the current time. There are lots of practical factors that affect the production model deployment decision. Traditional hybrid models, been optimized for production for decades, are usually good at these factors. Without providing excellent solutions to all these factors, it is hard for E2E models to be widely commercialized. In this talk, I will overview the recent advances in E2E models with the focus on technologies addressing those challenges from the perspective of the industry.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EJinyu Li will deliver the October 29 CSIP Seminar, which is entitled \u0026quot;Advances in end-to-end automatic speech recognition.\u0026quot;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Jinyu Li will deliver the October 29 CSIP Seminar, which is entitled \u0022Advances in end-to-end automatic speech recognition.\u0022"}],"uid":"27241","created_gmt":"2021-10-20 15:49:22","changed_gmt":"2021-10-20 15:49:22","author":"Jackie Nemeth","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-10-29T16:00:00-04:00","event_time_end":"2021-10-29T17:00:00-04:00","event_time_end_last":"2021-10-29T17:00:00-04:00","gmt_time_start":"2021-10-29 20:00:00","gmt_time_end":"2021-10-29 21:00:00","gmt_time_end_last":"2021-10-29 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGhassan AlRegib\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:alregib@gatech.edu\u0022 target=\u0022_blank\u0022\u003Ealregib@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERaquel Plaskett\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:raquel.plaskett@ece.gatech.edu\u0022\u003Eraquel.plaskett@ece.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHuck Yang\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:huckiyang@gatech.edu\u0022\u003Ehuckiyang@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECenter for Signal and Information Processing\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}