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Multi-dimensional Speech Quality Assessment in Crowdsourcing

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arxiv 2309.07385 v1 pith:5ZRPCLDM submitted 2023-09-14 eess.AS cs.SD

Multi-dimensional Speech Quality Assessment in Crowdsourcing

classification eess.AS cs.SD
keywords speechqualityitu-tcrowdsourcingdimensionstoolassessmentchallenge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Subjective speech quality assessment is the gold standard for evaluating speech enhancement processing and telecommunication systems. The commonly used standard ITU-T Rec. P.800 defines how to measure speech quality in lab environments, and ITU-T Rec.~P.808 extended it for crowdsourcing. ITU-T Rec. P.835 extends P.800 to measure the quality of speech in the presence of noise. ITU-T Rec. P.804 targets the conversation test and introduces perceptual speech quality dimensions which are measured during the listening phase of the conversation. The perceptual dimensions are noisiness, coloration, discontinuity, and loudness. We create a crowdsourcing implementation of a multi-dimensional subjective test following the scales from P.804 and extend it to include reverberation, the speech signal, and overall quality. We show the tool is both accurate and reproducible. The tool has been used in the ICASSP 2023 Speech Signal Improvement challenge and we show the utility of these speech quality dimensions in this challenge. The tool will be publicly available as open-source at https://github.com/microsoft/P.808.

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