1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchAlyssa Hugheshttps://www.microsoft.com/en-us/research/people/v-alyhu/Unsupervised Speech Enhancement - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="xqw0m4a72M"><a href="https://www.microsoft.com/en-us/research/video/unsupervised-speech-enhancement/">Unsupervised Speech Enhancement</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/unsupervised-speech-enhancement/embed/#?secret=xqw0m4a72M" width="600" height="338" title="“Unsupervised Speech Enhancement” — Microsoft Research" data-secret="xqw0m4a72M" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2022/01/unsupervised.png1150646Speech enhancement systems are built to remove background noise and reverberation from speech signals. It can be applied in video conferencing systems, virtual assistants, hearing aids, mobile, smart home devices, etc…Conventional speech enhancement systems are trained with supervised learning methods, which require a pair of studio-quality clean target speech and synthetic noisy mixture. The requirement […]