Fast music retrieval with advanced acoustic features
Ja-Hwung Su, Tzung‐Pei Hong, Yu-Tang Chen · 2017
Recently, much attention has been paid to music retrieval. Yet, it is not easy to conduct high-performance music retrieval due to the semantic gap. Therefore, this paper presents an effective and efficient method to partially solve this problem. In terms of effectiveness, the acoustic features are improved to increase the precision of retrieval. In terms of efficiency, a depth-first-search strategy is performed to accelerate the retrieval process. The experimental results reveal that the proposed method can achieve higher quality of music retrieval in comparison with the traditional methods.