ODAQ: Open Dataset of Audio Quality - Benchmark on GitHub
M. Torcoli, C.-W. Wu, S. Dick, P. A. Williams, M. M. Halimeh, W., Wolcott, E. A. P. Habets
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- github.com/fraunhofer-iis/odaqnone★ 47
Abstract
ODAQ is a dataset addressing the scarcity of openly available collections of audio signals accompanied by corresponding subjective scores of perceived quality. ODAQ contains 240 audio samples accompanied by corresponding quality scores obtained via MUSHRA listening tests. The quality-rated audio samples are processed versions of the original audio material (also made available). The original audio material consists of: stereo audio with 44.1 or 48 kHz sampling frequency; 14 music excerpts (8 of which are solo recordings); 11 excerpts from movie-like soundtracks with dialogues mixed with music and effects (separate stems and transcripts are also provided). Here, the dataset is used for benchmarking objective measures of audio quality.