Expert System for Automatic Classification and Quality Assessment of Singing Voices

Zwan P. Expert System for Automatic Classification and Quality Assessment of Singing Voices. In: AES Convention 121. Audio Engineering Society; 2006. Paper 6898. Available from: https://aes.org/publications/elibrary-page/?id=13732

@inproceedings{Zwan2006_13732,
  author = {Zwan, Pawel},
  title = {{Expert System for Automatic Classification and Quality Assessment of Singing Voices}},
  booktitle = {AES Convention 121},
  note = {Paper 6898},
  year = {2006},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13732}
}

TY  - CPAPER
TI  - Expert System for Automatic Classification and Quality Assessment of Singing Voices
AU  - Zwan, Pawel
T2  - AES Convention 121
M1  - Paper 6898
PY  - 2006
DA  - 2006/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13732
PB  - Audio Engineering Society
LA  - en
AB  - The aim of the research work presented is an automatic singing voice quality/type recognition system. For this purpose a database containing singers’ sample recordings is constructed and parameters are extracted from recorded voices of trained and untrained singers of different voice types. Parameters, which are especially designed for the analysis of the singing voice, are analyzed and a feature vector is formed. Each of singers’ voice samples is judged by experts and information about voice type/quality is obtained. Parameters extracted are used in the training process of a neural network and the effectiveness of an automatic voice timbre/quality classification is tested by comparing automatic recognition results with subjective expert judgements. Finally, discussion of results is presented and conclusions are derived.
ER  -