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End-To-End Multi-Talker Overlapping Speech Recognition

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
In this paper we present an end-to-end speech recognition system that can recognize single-channel speech where multiple talkers can speak at the same time (overlapping speech) by using a neural network model based on Recurrent Neural Network Transducer (RNN-T) architecture.
TRIPATHI ANSHUMAN, LU HAN, SAK HASIM
openaire   +6 more sources

End-to-End Accented Speech Recognition

Interspeech 2019, 2019
Thibault Viglino   +2 more
openaire   +1 more source

End-to-end neural systems for automatic children speech recognition: An empirical study

Computer Speech and Language, 2022
Shrikanth Narayanan   +1 more
exaly  

Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2021
Cunhang Fan   +2 more
exaly  

End-to-End Audiovisual Speech Recognition System With Multitask Learning

IEEE Transactions on Multimedia, 2021
CARLOS Busso, Fei Tao
exaly  

Audio-Visual End-to-End Multi-Channel Speech Separation, Dereverberation and Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2023
Xunying Liu, Helen Meng, Mengzhe Geng
exaly  

Arabic speech recognition by end-to-end, modular systems and human

Computer Speech and Language, 2022
Amir Hussein, Shinji Watanabe
exaly  

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