Automated Evaluation for Button Sounds from Wavelet-Based Features

Fujinoki K, Murakoshi K, Ishimitsu S. Automated Evaluation for Button Sounds from Wavelet-Based Features. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012. Paper 2-1. Available from: https://aes.org/publications/elibrary-page/?id=16177

@inproceedings{Fujinoki2012_16177,
  author = {Fujinoki, Kensuke and Murakoshi, Kodai and Ishimitsu, Shunsuke},
  title = {{Automated Evaluation for Button Sounds from Wavelet-Based Features}},
  booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
  note = {Paper 2-1},
  year = {2012},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16177}
}

TY  - CPAPER
TI  - Automated Evaluation for Button Sounds from Wavelet-Based Features
AU  - Fujinoki, Kensuke
AU  - Murakoshi, Kodai
AU  - Ishimitsu, Shunsuke
T2  - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
M1  - Paper 2-1
PY  - 2012
DA  - 2012/03/06
UR  - https://aes.org/publications/elibrary-page/?id=16177
PB  - Audio Engineering Society
LA  - en
AB  - We present a feature extraction method that evaluates the audio quality of push-button sounds based on wavelet transforms. Using a continuous wavelet transform, push-button sounds are represented in the time-frequency plane. For each sound, features identifying sound characteristics in terms of sound pressure and reverberation are compactly represented with triangular biorthogonal wavelets. These wavelets belong to a two-dimensional nonseparable set of functions that enable a multiscale signal representation. Together with an auditory impression of the sounds extracted by the semantical differential method, a preliminary experiment is then performed to evaluate automated recognition of push-button sounds using wavelet analysis.
ER  -