Fast and Accurate Song Recognition: an Approach Based on Multi-Index Hashing
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)(2022)
摘要
An activity of wide interest for researchers and companies working in the field of audio signal processing is the capability to automatically recognize in real-time short excerpts of broadcast or played commercial songs. It appears quite difficult to obtain a robust approach able to generate a fast algorithm in order to analyze several audio flows at the same time. In this paper, we compare the results obtained using a specific improvement of an algorithm we recently proposed against several baseline approaches. Specifically, we introduced an approach based on Multi-Index Hashing which permits to improve noticeably speed in fingerprints searching also on very large datasets. Experimental results, performed using the MTG-Jamendo dataset, containing more then 50, 000 songs, show our approach outperform the others jointly considering performance parameters: accuracy, precision and query time.
更多查看译文
关键词
Song recognition,Audio Fingerprint,Power Spectral Density,Hamming Distance,Hashing,Binary Finger-prints
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要