Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning-Reference-Cited by-同舟云学术

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Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning

Published:2015-04 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Giri Ritwik,Seltzer Michael L.,Droppo Jasha,Yu Dong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7158221/7177909/07178925.pdf?arnumber=7178925

Cited by 59 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. Blind Identification of Ambisonic Reduced Room Impulse Response;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Context-Aware Enhanced Dereverberation Network;Lecture Notes in Computer Science;2024

3. Speech Dereverberation Based on Self-supervised Residual Denoising Autoencoder with Linear Decoder;Proceedings in Adaptation, Learning and Optimization;2024

4. Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. Modified AWSSDR method for frequency-dependent reverberation time estimation*;Phonetics and Speech Sciences;2023-12

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