Conversational Speech Processing and Recognition: Speech Separation, End-to-End Modeling, and Speaker Diarization

Recognizing conversational speech involves processing multi-talker human-to-human communications. It requires overcoming various challenges resulting from dealing with natural conversations, promoting progress in various topics, including speech separation, end-to-end modeling, speaker diarization, and utilizing self-supervised models, to name a few. This webinar will introduce recent research advances in these domains as well as insights gained from applications of these methods to real-world commercial scenarios.