ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric
About
Estimation of perceptual quality in audio and speech is possible using a variety of methods. The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio, respectively,) provides improvements upon previous versions, in terms of both design and usage. As an open source C++ library or binary with permissive licensing, ViSQOL can now be deployed beyond the research context into production usage. The feedback from internal production teams at Google has helped to improve this new release, and serves to show cases where it is most applicable, as well as to highlight limitations. The new model is benchmarked against real-world data for evaluation purposes. The trends and direction of future work is discussed.
Michael Chinen, Felicia S. C. Lim, Jan Skoglund, Nikita Gureev, Feargus O'Gorman, Andrew Hines• 2020
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Audio Quality Assessment Correlation | SEBASS Music - Drums | SRCC71.94 | 22 | |
| Audio Quality Assessment Correlation | SEBASS Music - No Drums | SRCC78.75 | 22 | |
| Audio Quality Assessment Correlation | SEBASS Spanish | SRCC76.48 | 22 | |
| Audio Quality Assessment Correlation | SEBASS English | SRCC72.59 | 22 | |
| Subjective Human Correlation for Musical Audio Coherence | MUSDB18 HQ (test) | Pearson ρ-0.091 | 9 |
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