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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
|June 22, 2015
Summary
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.
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.
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