Music fingerprint extraction and music retrieval based on harmonic

Hongchen Zhou, Dongmei Jiang, Hichem Sahli, Werner Verhelst

Research output: Contribution to journalArticlepeer-review


This paper presents a novel music fingerprint extraction method based on the harmonic characteristics of the beats in music. The harmonic information of each music frame is obtained, then based on the tracked beats, the mean of the harmonic’s information of all the frames in one beat is caculated, as the music fingerprint characteristic matrix of that beat. In order to improve the efficiency of music retrieval, a two level retrieval algorithm is proposed. The music whose beats in per minute(BPM) is close to that of the queried music clip is chosen as a candidate music, then the similarity between the music fingerprints of the queried music and of the candidate is calculated beat by beat, the music with the highest similarity is chosen as the retrieval result. Experimental results show that the music fingerprint and music retrieval algorithm proposed in this paper improves the retrieval accuracy and efficiency.
Original languageChinese
Pages (from-to)239-242
Number of pages4
JournalComputer Engineering and Applications
Issue number2
Publication statusPublished - 2012


  • signal processing
  • audio processing

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