Classification of Musical Genres Using Audio Waveform Descriptors in MPEG-7

Osmanovic N. Classification of Musical Genres Using Audio Waveform Descriptors in MPEG-7. In: AES Convention 125. Audio Engineering Society; 2008. Paper 7513. Available from: https://aes.org/publications/elibrary-page/?id=14665

@inproceedings{Osmanovic2008_14665,
  author = {Osmanovic, Nermin},
  title = {{Classification of Musical Genres Using Audio Waveform Descriptors in MPEG-7}},
  booktitle = {AES Convention 125},
  note = {Paper 7513},
  year = {2008},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14665}
}

TY  - CPAPER
TI  - Classification of Musical Genres Using Audio Waveform Descriptors in MPEG-7
AU  - Osmanovic, Nermin
T2  - AES Convention 125
M1  - Paper 7513
PY  - 2008
DA  - 2008/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14665
PB  - Audio Engineering Society
LA  - en
AB  - Automated genre classification makes it possible to determine the musical genre of an incoming audio waveform. One application of this is to help listeners find music they like more quickly among millions of tracks in an online music store. By using numerical thresholds and the MPEG-7 descriptors, a computer can analyze the audio stream for occurrences of specific sound events such as kick drum, snare hit, and guitar strum. The knowledge about sound events provides a basis for the implementation of a digital music genre classifier. The classifier inputs a new audio file, extracts salient features, and makes a decision about the musical genre based on the decision rule. The final classification results show a recognition rate in the range 75% - 94% for five genres of music
ER  -