Perceptual Optimization of Audio Representations Based on Time-Frequency Masking Data for Maximally-Compact Stimuli

Necciari T, Balazs P, Kronland-Martinet R, Ystad S, Laback B, Savel S, Meunier S. Perceptual Optimization of Audio Representations Based on Time-Frequency Masking Data for Maximally-Compact Stimuli. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012. Paper 3-1. Available from: https://aes.org/publications/elibrary-page/?id=16173

@inproceedings{Necciari2012_16173,
  author = {Necciari, Thibaud and Balazs, Peter and Kronland-Martinet, Richard and Ystad, Sølvi and Laback, Bernhard and Savel, Sophie and Meunier, Sabine},
  title = {{Perceptual Optimization of Audio Representations Based on Time-Frequency Masking Data for Maximally-Compact Stimuli}},
  booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
  note = {Paper 3-1},
  year = {2012},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16173}
}

TY  - CPAPER
TI  - Perceptual Optimization of Audio Representations Based on Time-Frequency Masking Data for Maximally-Compact Stimuli
AU  - Necciari, Thibaud
AU  - Balazs, Peter
AU  - Kronland-Martinet, Richard
AU  - Ystad, Sølvi
AU  - Laback, Bernhard
AU  - Savel, Sophie
AU  - Meunier, Sabine
T2  - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
M1  - Paper 3-1
PY  - 2012
DA  - 2012/03/06
UR  - https://aes.org/publications/elibrary-page/?id=16173
PB  - Audio Engineering Society
LA  - en
AB  - Many audio applications use time-frequency representations such as the Gabor and wavelet transforms. For such applications, it is often required that the signal representation matches human auditory perception and allows reconstruction. On that purpose, this paper presents the results of psychoacoustical experiment on auditory time-frequency masking using stimuli with maximal concentration in the time-frequency plane. These new data constitute a crucial basis for the prediction of auditory masking in the time-frequency representations of sound signals. An algorithm that removes the inaudible components in the wavelet transform of a sound while causing no audible difference to the original sound after re-synthesis is proposed. Preliminary results are promising, although further development is required.
ER  -