Perceptual Objective Listening Quality Assessment ( POLQA ) , The Third Generation ITU-T Standard for End-to-End Speech Quality Measurement Part II – Perceptual Model
By J. Beerends, Christian Schmidmer, J. Berger, Matthias Obermann, Raphael Ullmann, Joachim Pomy, M. Keyhl. 2013
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- Michael Chinen
- Jan Skoglund
- Daniel Michelsanti
- Zheng-Hua Tan
- Felicia S. C. Lim
- Yong Xu
- Dong Yu
- Harishchandra Dubey
Citations in the corpus
- ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric (2020, background): “Although subjective scores were not available, the developers expected that MOS should be less sensitive to changes in higher bitrates, giving POLQA a better match.”
- Icassp 2022 Deep Noise Suppression Challenge (2022, background): “This challenge relies on ITU-T P.835 [8] subjective evaluation for evaluating the DNS models, since objective speech quality metrics, such as PESQ [22], SDR, and POLQA [23], do not correlate well with subjective speech quality [24].”
- Dnsmos: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors (2020, background): “PESQ and POLQA reasonable PCC and SRCC.”
- ICASSP 2021 Deep Noise Suppression Challenge (2020, methodology): “[28] John Beerends et al., “Perceptual objective listening quality assessment (POLQA), the third generation ITU-T standard for end-to-end speech quality measurement part II-perceptual model,” AES: Journal of the Audio Engineering Society, vol. 61, pp. 385–402, 06 2013.”
- Jitter Buffer Compensation in Voice over IP Quality Estimation (2019, methodology): “The POLQA metric results vary heavily with certain delay lengths, which perform well when conditions fit this model, while giving continuously errors with unsuitable circumstances [6].”
- An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation (2020, background): “Although POLQA correlates well with listening test results, outperforming PESQ [21], [122], it has not been used to evaluate AV-SE and AV-SS systems yet.”