Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR

4 June 2020

Papers citing "Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR"

8 / 8 papers shown

Title
Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition Hao Shi Yuan Gao Zhaoheng Ni Tatsuya Kawahara 34 2 0 01 Sep 2024
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance Tsubasa Ochiai Kazuma Iwamoto Marc Delcroix Rintaro Ikeshita Hiroshi Sato Shoko Araki Shigeru Katagiri 29 2 0 23 Apr 2024
Mixture Encoder for Joint Speech Separation and Recognition Simon Berger Peter Vieting Christoph Boeddeker Ralf Schluter Reinhold Häb-Umbach 26 6 0 21 Jun 2023
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 35 21 0 01 Dec 2022
Multi-turn RNN-T for streaming recognition of multi-party speech Ilya Sklyar A. Piunova Xianrui Zheng Yulan Liu 24 22 0 19 Dec 2021
SA-SDR: A novel loss function for separation of meeting style data Thilo von Neumann K. Kinoshita Christoph Boeddeker Marc Delcroix Reinhold Haeb-Umbach 29 20 0 29 Oct 2021
Single channel voice separation for unknown number of speakers under reverberant and noisy settings Shlomo E. Chazan Lior Wolf Eliya Nachmani Yossi Adi 29 29 0 04 Nov 2020
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation Zhong-Qiu Wang Peidong Wang DeLiang Wang 33 88 0 04 Oct 2020