Intelligent Editing of Studio Recordings with the Help of Automatic Music Structure Extraction

Fazekas G, Sandler M. Intelligent Editing of Studio Recordings with the Help of Automatic Music Structure Extraction. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7039. Available from: https://aes.org/publications/elibrary-page/?id=14024

@inproceedings{Fazekas2007_14024,
  author = {Fazekas, György and Sandler, Mark},
  title = {{Intelligent Editing of Studio Recordings with the Help of Automatic Music Structure Extraction}},
  booktitle = {AES Convention 122},
  note = {Paper 7039},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14024}
}

TY  - CPAPER
TI  - Intelligent Editing of Studio Recordings with the Help of Automatic Music Structure Extraction
AU  - Fazekas, György
AU  - Sandler, Mark
T2  - AES Convention 122
M1  - Paper 7039
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14024
PB  - Audio Engineering Society
LA  - en
AB  - In a complex sound editing project, automatic exploration and labelling of the semantic music structure can be highly beneficial as a creative assistance. This paper describes the development of new tools that allow the engineer to navigate around the recorded project using a hierarchical music segmentation algorithm. Segmentation of musical audio into intelligible sections like: chorus and verses will be discussed followed by a short overview of the novel segmentation approach by timbre-based music representation. Popular sound-editing platforms were investigated to find an optimal way of implementing the necessary features. The integration of music segmentation and the development of a new navigation toolbar in Audacity, an open-source multi-track editor will be described in more detail.
ER  -