Automatic Regular Voice, Raised Voice, and Scream Recognition Employing Fuzzy Logic

Lopatka K, Czyzewski A. Automatic Regular Voice, Raised Voice, and Scream Recognition Employing Fuzzy Logic. In: AES Convention 132. Audio Engineering Society; 2012. Paper 8636. Available from: https://aes.org/publications/elibrary-page/?id=16274

@inproceedings{Lopatka2012_16274,
  author = {Lopatka, Kuba and Czyzewski, Andrzej},
  title = {{Automatic Regular Voice, Raised Voice, and Scream Recognition Employing Fuzzy Logic}},
  booktitle = {AES Convention 132},
  note = {Paper 8636},
  year = {2012},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16274}
}

TY  - CPAPER
TI  - Automatic Regular Voice, Raised Voice, and Scream Recognition Employing Fuzzy Logic
AU  - Lopatka, Kuba
AU  - Czyzewski, Andrzej
T2  - AES Convention 132
M1  - Paper 8636
PY  - 2012
DA  - 2012/04/06
UR  - https://aes.org/publications/elibrary-page/?id=16274
PB  - Audio Engineering Society
LA  - en
AB  - A method of automatic recognition of regular voice, raised voice and scream used for audio surveillance system is presented. The algorithm for detection of voice activity in a noisy environment is discussed. Signal features used for sound classification, based on energy, spectral shape and tonality are introduced. Sound feature vectors are processed by a fuzzy classifier. The method is employed in an audio surveillance system working in real-time both in an indoor and outdoor environment. Achieved results of classifying real sound signals are presented and discussed.
ER  -