Automatic detection of audio problems for quality control in digital music distribution

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• dc.contributor.author Alonso-Jiménez, Pablo
• dc.contributor.author Joglar-Ongay, Luis
• dc.contributor.author Serra, Xavier
• dc.contributor.author Bogdanov, Dmitry
• dc.date.accessioned 2019-04-04T07:37:46Z
• dc.date.issued 2019
• dc.description Comunicació presentada a la 146th Convention of the Audio Engineering Society celebrada del 20 al 23 de març de 2019 a Irlanda.
• dc.description.abstract Providing contents within the industry quality standards is crucial for digital music distribution companies. For this reason an excellent quality control (QC) support is paramount to ensure that the music does not contain audio defects. Manual QC is a very effective and widely used method, but it is very time and resources consuming. Therefore, automation is needed in order to develop an efficient and scalable QC service. In this paper we outline the main needs to solve together with the implementation of digital signal processing algorithms and perceptual heuristics to improve the QC workflow. The algorithms are validated on a large music collection of more than 300,000 tracks.
• dc.description.sponsorship This research has received funding from the Centre for the Development of Industrial Technology (CDTI), a public entity under the Spanish Ministry of Economy, Industry and Competitiveness, under the grant agreement No. IDI-20170768.
• dc.format.mimetype application/pdf
• dc.identifier.citation Alonso-Jiménez P, Joglar-Ongay L, Serra X, Bogdanov D. Automatic detection of audio problems for quality control in digital music distribution. In: Audio Engineering Society Convention 146. 146th Convention of the Audio Engineering Society; 2019 Mar 20-23; Dublin, Ireland. New York: AES; 2019.
• dc.identifier.uri http://hdl.handle.net/10230/37041
• dc.language.iso eng
• dc.publisher Audio Engineering Society
• dc.relation.ispartof Audio Engineering Society Convention 146. 146th Convention of the Audio Engineering Society; 2019 Mar 20-23; Dublin, Ireland. New York: AES; 2019.
• dc.rights © Audio Engineering Society 2019 This paper was presented at the 146th Convention of the Audio Engineering Society, as paper number 10205. The full published version can be found at http://www.aes.org/e-lib/browse.cfm?elib=20338
• dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
• dc.subject.keyword Audio problems detection
• dc.subject.keyword Audio quality control
• dc.title Automatic detection of audio problems for quality control in digital music distribution
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion