Self-supervised speech quality assessment (S3QA): Leveraging speech foundation models for a scalable speech quality metric.
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| Title: | Self-supervised speech quality assessment (S3QA): Leveraging speech foundation models for a scalable speech quality metric. |
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| Authors: | Ogg M; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723, USA., Bishop CA; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723, USA., Yi HG; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723, USA., Robinson SR; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723, USA. |
| Source: | The Journal of the Acoustical Society of America [J Acoust Soc Am] 2026 Apr 01; Vol. 159 (4), pp. 3662-3673. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Institute of Physics Country of Publication: United States NLM ID: 7503051 Publication Model: Print Cited Medium: Internet ISSN: 1520-8524 (Electronic) Linking ISSN: 00014966 NLM ISO Abbreviation: J Acoust Soc Am Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1520-8524 |
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| DOI: | 10.1121/10.0043367 |
