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

, , , , , , and . ICASSP, page 1-5. IEEE, (2023)

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Corn: Co-Trained Full- and No-Reference Speech Quality Assessment., , and . ICASSP, page 376-380. IEEE, (2024)CDPAM: Contrastive Learning for Perceptual Audio Similarity., , , and . ICASSP, page 196-200. IEEE, (2021)Nord: Non-Matching Reference Based Relative Depth Estimation from Binaural Speech., , , , and . ICASSP, page 1-5. IEEE, (2023)A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences., , , , , and . INTERSPEECH, page 2852-2856. ISCA, (2020)CORN: Co-Trained Full-Reference And No-Reference Audio Metrics., , and . CoRR, (2023)Do we need a Reference Signal for Speech Quality Assessment?. Princeton University, USA, (2024)Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Spatialization Quality Metric for Binaural Speech., , , , and . INTERSPEECH, page 5426-5430. ISCA, (2023)Audio Similarity is Unreliable as a Proxy for Audio Quality., , and . INTERSPEECH, page 3553-3557. ISCA, (2022)DPLM: A Deep Perceptual Spatial-Audio Localization Metric., , , , , , and . WASPAA, page 6-10. IEEE, (2021)