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

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric (2020, methodology): “For this use case they have 48 kHz-sampled reference and degraded audio samples and use ViSQOLAudio for calculating the results.”
Looking to listen at the cocktail party (2018, neutral): “The table includes evaluation using SDR and ViSQOL [Hines et al. 2015], an objective measure intended to approximate human listener mean opinion scores (MOS) of speech quality.”
Bitrate classification of twice-encoded audio using objective quality features (2016, methodology): “ViSQOLAudio was selected for use in this research because it has been shown to be accurate at estimating the quality of degraded audio files [8], though we could equally have used another objective metric in this proof-of-concept.”
AMBIQUAL - a full reference objective quality metric for ambisonic spatial audio (2018, background): “The model builds on an adaptation of the ViSQOLAudio algorithm.”
Measuring and monitoring speech quality for voice over IP with POLQA, viSQOL and p.563 (2015, background): “ViSQOL and POLQA have also recently been adapted to be for audio quality evaluation [21].”
Objective Assessment of Perceptual Audio Quality Using ViSQOLAudio (2017, methodology): “This paper builds upon a proof of concept presented in [4] that showed that objective speech quality metrics such as POLQA and ViSQOL could be adapted for audio quality prediction.”