Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR-Reference-Cited by-同舟云学术

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Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR

Published:2020-10-25 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2020
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Author:

Neumann Thilo von,Boeddeker Christoph,Drude Lukas,Kinoshita Keisuke,Delcroix Marc,Nakatani Tomohiro,Haeb-Umbach Reinhold

Publisher

ISCA

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts?;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Improving Multi-Speaker ASR With Overlap-Aware Encoding And Monotonic Attention;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. Deep neural network techniques for monaural speech enhancement and separation: state of the art analysis;Artificial Intelligence Review;2023-10-25

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