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Speech enhancement or noise suppression aims at improving the quality and intelligibility of noisy speech. It is an important frontend module for voice call, automatic speech recognition (ASR), and hearing aids system.
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Publications(5)
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability
AuthorChouchang Yang,Yashas Malur Saidutta,Rakshith Srinivasa,Chinghua Lee,Yilin Shen,Hongxia Jin
PublishedAnnual Conference of the International Speech Communication Association (INTERSPEECH)
Date2023-08-21
Snapshot Matching Masking for Improved PSD Estimation in Mask-Based Neural Beamforming for Multichannel Speech Enhancement
AuthorChinghua Lee,Chouchang Yang,Yilin Shen,Hongxia Jin
PublishedInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date2023-06-04
FFC-SE: Fast Fourier Convolution for Speech Enhancement
AuthorIvan Shchekotov, Pavel Andreev, Aibek Alanov, Oleg Ivanov
Date2022-09-18
News(2)
Deep learning based audio signal processing is increasingly becoming popular for solving the cocktail party problem [1-5]. A noisy signal, which is mixed by a clean and noise signal, is used as a pair with the clean signal for training a speech enhancement or source separation model [6-7].
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