Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction

Wack N. Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction. In: AES Convention 117. Audio Engineering Society; 2004. Paper 6205. Available from: https://aes.org/publications/elibrary-page/?id=12862

@inproceedings{Wack2004_12862,
  author = {Wack, Nicolas},
  title = {{Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction}},
  booktitle = {AES Convention 117},
  note = {Paper 6205},
  year = {2004},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12862}
}

TY  - CPAPER
TI  - Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction
AU  - Wack, Nicolas
T2  - AES Convention 117
M1  - Paper 6205
PY  - 2004
DA  - 2004/10/06
UR  - https://aes.org/publications/elibrary-page/?id=12862
PB  - Audio Engineering Society
LA  - en
AB  - Nowadays, meta-data and audio descriptors extraction (used in classification, for instance) is engaged in a rather blind and brute-force method, computing the most possible and then selecting what works using an often long and boring statistical analysis. Moreover, this analysis barely takes into account the intrinsic sense these descriptors may carry. Mana is graphical user-interface (GUI) based system that aims at adding a bit of human supervision in the process, combining state-of-the-art classification methods (in audio-content extraction and classification) with an ease of use that provides the user with direct control over descriptors and their significance in classification.
ER  -