Noise RETF Estimation and Removal for Low SNR Speech Enhancement

Lachlan Birnie,Prasanga Samarasinghe,Thushara Abhayapala,Daniel Grixti-Cheng

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)（2021）

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摘要

A method for offline two-microphone speech enhancement in highly adverse noisy environments with signal-to-noise (SNR) ratios of −10 to −20 dB is proposed. While the topic of speech enhancement is well researched, there are very few methods developed to address such significant noise conditions. Specifically, we are interested in removing noise from unintelligible recordings such that the resultin...

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关键词

Maximum likelihood detection,Machine learning algorithms,Convolution,Signal processing algorithms,Transfer functions,Machine learning,Speech enhancement

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