Automatic Tonal Analysis from Music Summaries for Version Identification

Gómez E, Herrera P, Ong B. Automatic Tonal Analysis from Music Summaries for Version Identification. In: AES Convention 121. Audio Engineering Society; 2006. Paper 6902. Available from: https://aes.org/publications/elibrary-page/?id=13736

@inproceedings{Gomez2006_13736,
  author = {Gómez, Emilia and Herrera, Perfecto and Ong, Beesuan},
  title = {{Automatic Tonal Analysis from Music Summaries for Version Identification}},
  booktitle = {AES Convention 121},
  note = {Paper 6902},
  year = {2006},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13736}
}

TY  - CPAPER
TI  - Automatic Tonal Analysis from Music Summaries for Version Identification
AU  - Gómez, Emilia
AU  - Herrera, Perfecto
AU  - Ong, Beesuan
T2  - AES Convention 121
M1  - Paper 6902
PY  - 2006
DA  - 2006/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13736
PB  - Audio Engineering Society
LA  - en
AB  - Identifying versions of the same song by means of automatically extracted audio features is a complex task to achieve using computers, even though it may seem very simple for a human listener. The design of a system to perform this job gives the opportunity to analyze which features are relevant for music similarity. This paper focuses on the analysis of tonal and structural similarity and its application to the identification of different versions of the same piece. This work describes the situations where a song is versioned and several musical aspects are transformed with respect to the canonical version. A quantitative evaluation is made using tonal descriptors, including chroma representations and tonality, combined with the automatic extraction of summary of pieces through music structural analysis.
ER  -