Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution

Title Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution
Publication Type Conference Paper
Year of Publication 2019
Conference Name AES 146th Convention
Authors Alonso-Jiménez, P. , Joglar-Ongay L. , Serra X. , & Bogdanov D.
Conference Start Date 20/03/2019
Conference Location Dublín
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.
preprint/postprint document http://www.aes.org/e-lib/browse.cfm?elib=20338