Alonso-Jiménez, PabloJoglar-Ongay, LuisSerra, XavierBogdanov, Dmitry2019-04-042019Alonso-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.http://hdl.handle.net/10230/37041Comunicació presentada a la 146th Convention of the Audio Engineering Society celebrada del 20 al 23 de març de 2019 a Irlanda.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.application/pdfeng© 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=20338info:eu-repo/semantics/conferenceObjectAudio problems detectionAudio quality controlinfo:eu-repo/semantics/embargoedAccess