Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio

Author:

Kumar Anurag1,Tan Ke1,Ni Zhaoheng2,Manocha Pranay3,Zhang Xiaohui2,Henderson Ethan1,Xu Buye1

Affiliation:

1. Meta Reality Labs Research

2. Meta

3. Princeton University

Publisher

IEEE

Reference30 articles.

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2. Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors

3. Stoi-net: A deep learning based non-intrusive speech intelligibility assessment model;zezario;2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),2020

4. A classification-aided frame-work for non-intrusive speech quality assessment;dong;WAS-PAA,2019

5. Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement;tan;IEEE/ACM TASLP,2019

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