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arXiv:2004.09584eess.AS

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric

Michael Chinen, Felicia S. C. Lim, Jan Skoglund, Nikita Gureev, Feargus O'Gorman, Andrew Hines

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Abstract

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.

arXiv comments
2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
Journal reference
DOI
Subjects
eess.ASAudio and Speech Processing cs.SDSound eess.SPSignal Processing

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  1. AI agent benchmarks are broken 1 comment
    • There's two answers to that.... The first is, how do you know the subjective optimization your making is actually any good? You're just moving the problem back one layer of abstraction. The second is, we did that, eventually, by training models to predict subjective listening…

      sdenton4View on HNParent context

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