A Fuzzy Rules-based Speech/Music Discrimination Approach for Intelligent Audio Coding Over the Internet

Garcia Gálan S, Muñoz-Exposito JE, Rivas Peña F, Ruiz-Reyes N, Vera-Candeas P. A Fuzzy Rules-based Speech/Music Discrimination Approach for Intelligent Audio Coding Over the Internet. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6676. Available from: https://aes.org/publications/elibrary-page/?id=13480

@inproceedings{GarciaGalan2006_13480,
  author = {Garcia Gálan, Sebastian and Muñoz-Exposito, Jose Enrique and Rivas Peña, Fernando and Ruiz-Reyes, Nicolas and Vera-Candeas, Pedro},
  title = {{A Fuzzy Rules-based Speech/Music Discrimination Approach for Intelligent Audio Coding Over the Internet}},
  booktitle = {AES Convention 120},
  note = {Paper 6676},
  year = {2006},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13480}
}

TY  - CPAPER
TI  - A Fuzzy Rules-based Speech/Music Discrimination Approach for Intelligent Audio Coding Over the Internet
AU  - Garcia Gálan, Sebastian
AU  - Muñoz-Exposito, Jose Enrique
AU  - Rivas Peña, Fernando
AU  - Ruiz-Reyes, Nicolas
AU  - Vera-Candeas, Pedro
T2  - AES Convention 120
M1  - Paper 6676
PY  - 2006
DA  - 2006/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13480
PB  - Audio Engineering Society
LA  - en
AB  - Our work presents a speech/music discrimination approach based on fuzzy rules for selecting the suitable coder required in an intelligent audio coding system. When the same coder is used for both speech and music, is difficult to achieve good audio quality and low bit rates for both types of signals. We propose using a simple feature, called Warped LPC-based Spectral Centroid (WLPC-SC) for speech/music discrimination. In order to select the suitable audio coder for each audio frame, an expert system is proposed. The main advantage of the proposed approach is the low computational cost in both the speech/music discrimination and coder selection stages. It allows its use in real time applications as internet audio streaming.
ER  -