17 citations · 104 across the 36 of their papers we have counts for
5 papers · 1 filter
Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription
Xiaofei Wang, Naoyuki Kanda, Yashesh Gaur +3
Joint optimization of multi-channel front-end and automatic speech recognition (ASR) has attracted much interest. While promising results have been reported for various tasks, past…
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR
Naoyuki Kanda, Zhong Meng, Liang Lu +4
Recently, an end-to-end speaker-attributed automatic speech recognition (E2E SA-ASR) model was proposed as a joint model of speaker counting, speech recognition and speaker identif…
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings
Naoyuki Kanda, Xuankai Chang, Yashesh Gaur +4
Recently, an end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR) model was proposed as a joint model of speaker counting, speech recognition and speaker ident…
Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers
Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang +4
We propose an end-to-end speaker-attributed automatic speech recognition model that unifies speaker counting, speech recognition, and speaker identification on monaural overlapped…
Serialized Output Training for End-to-End Overlapped Speech Recognition
Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang +2
This paper proposes serialized output training (SOT), a novel framework for multi-speaker overlapped speech recognition based on an attention-based encoder-decoder approach. Instea…