2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSPE-30.6
Paper Title DNSMOS: A NON-INTRUSIVE PERCEPTUAL OBJECTIVE SPEECH QUALITY METRIC TO EVALUATE NOISE SUPPRESSORS
Authors Chandan Karadagur Ananda Reddy, Vishak Gopal, Ross Cutler, Microsoft, United States
SessionSPE-30: Speech Processing 2: General Topics
LocationGather.Town
Session Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Poster
Topic Speech Processing: [SPE-SPER] Speech Perception and Psychoacoustics
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Human subjective evaluation is the ”gold standard” to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores. The conventional and widely used metrics require a reference clean speech signal, which is unavailable in real recordings. The no-reference approaches correlate poorly with human ratings and are not widely adopted in the research community. One of the biggest use cases of these perceptual objective metrics is to evaluate noise suppression algorithms. This paper introduces a multi-stage self-teaching based perceptual objective metric that is designed to evaluate noise suppressors. The proposed method generalizes well in challenging test conditions with a high correlation to human ratings.