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Objective characterization of audio signal quality: Applications to music collection description

  • STMS IRCAM-CNRS-UPMC

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Résumé

In this paper, we propose a set of audio features to describe the quality of an audio signal. Audio quality is here considered as being modified by the chain of processes/effects applied to the individual instrument tracks to obtain the final mix of a musical piece. Thus, the quality also depends on the mastering processes applied to the final mix or the signal degradation caused by MP3 compression. To evaluate our proposal, we created a large set of artificial mixes and also used real-world studio mixes. Using unsupervised and supervised classification methods, we show that our proposed audio features can detect the processing chain. Since this processing chain applied in professional studio has evolved over the years, we use our audio features to directly predict the decade during which a music track was recorded.

langue originaleAnglais
titre2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages711-715
Nombre de pages5
ISBN (Electronique)9781509041176
Les DOIs
étatPublié - 16 juin 2017
Modification externeOui
Evénement2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, États-Unis
Durée: 5 mars 20179 mars 2017

Série de publications

NomICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (imprimé)1520-6149

Une conférence

Une conférence2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Pays/TerritoireÉtats-Unis
La villeNew Orleans
période5/03/179/03/17

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