Our paper, "Neural audio fingerprint for high-specific audio retrieval based on contrastive learning" (Authors: Sungkyun Chang, Donmoon Lee, Jeongsoo Park, Hyungui Lim, Kyogu Lee, Karam Ko, and Yoonchang Han) has been accepted for presentation at IEEE ICASSP 2021, which is to be held starting on June 6, 2021, as a fully virtual conference. The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), is the IEEE Signal Processing Society’s flagship conference on signal processing and its applications.
Music fingerprinting is one of the most commercially successful music analysis technology, however, conventional approaches have been used over the last decades. In this paper, we propose a fully deep learning-based approach to make a breakthrough in this field. Cochl is providing the music fingerprinting technology and operating music fingerprinting service for SK Telecom's music streaming service FLO since 2020.