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Transcribe-to-Diarize: Neural Speaker Diarization for Unlim..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Kanda, Naoyuki
;
Xiao, Xiong
;
Gaur, Yashesh
... - p. 8082-8086 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746225
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers Using End-to-End Speaker-Attributed ASR</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746225&Exemplar=1&LAN=DE A1 Kanda, Naoyuki A1 Xiao, Xiong A1 Gaur, Yashesh A1 Wang, Xiaofei A1 Meng, Zhong A1 Chen, Zhuo A1 Yoshioka, Takuya YR 2022 SN 2379-190X K1 Voice activity detection K1 Error analysis K1 Conferences K1 Signal processing K1 Linguistics K1 Acoustics K1 Automatic speech recognition K1 Speaker diarization K1 rich transcription K1 speech recognition K1 speaker counting SP 8082 OP 8086 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746225 DO https://doi.org/10.1109/ICASSP43922.2022.9746225 SF ELIB - SuUB Bremen
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