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ViSQOLAudio: An objective audio quality metric for low bitrate codecs.

Andrew Hines1, Eoin Gillen1, Damien Kelly2

  • 1Sigmedia Group, School of Engineering, Trinity College Dublin, Irelandandrew.hines@dit.ie, ogiollae@tcd.ie.

The Journal of the Acoustical Society of America
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Objective metrics can predict audio quality for low-bitrate music streaming. This research benchmarks Perceptual Evaluation of Audio Quality (PEAQ), Perceptual Objective Listening Quality Assessment (POLQA), and VISQOLAudio for music, finding speech-focused metrics effective.

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Area of Science:

  • Audio Engineering
  • Signal Processing
  • Multimedia Communications

Background:

  • Streaming services aim to optimize bandwidth usage for audio and visual channels to enhance user experience.
  • Assessing audio quality at low bitrates is crucial for efficient streaming delivery.

Purpose of the Study:

  • To evaluate the effectiveness of objective audio quality metrics in predicting perceived audio quality for music encoded at low bitrates.
  • To compare the performance of established objective metrics against listener test results.

Main Methods:

  • Benchmarking three objective audio quality metrics: Perceptual Evaluation of Audio Quality (PEAQ), Perceptual Objective Listening Quality Assessment (POLQA), and VISQOLAudio.
  • Comparing objective metric predictions with subjective quality ratings obtained from listener tests.
  • Focusing on music content encoded at low bitrates.

Main Results:

  • Objective metrics designed for speech quality assessment show significant potential for evaluating low-bitrate audio codecs.
  • The study identified specific objective metrics that correlate well with listener perceptions of music quality at reduced bitrates.

Conclusions:

  • Objective metrics, particularly those developed for speech, can serve as reliable predictors of audio quality for low-bitrate music streaming.
  • This finding supports the use of these metrics for optimizing streaming service bandwidth and user experience.