Phoneme analysis based on quantitative and qualitative entropy measurement
Computer Speech and Language
Extraction and analysis of the speech emotion features based on multi-fractal spectrum
International Journal of Computer Applications in Technology
Applying nonlinear dynamics features for speech-based fatigue detection
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Detecting fatigue from steering behaviour applying continuous wavelet transform
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Multimedia data mining: state of the art and challenges
Multimedia Tools and Applications
NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
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The nonlinear dynamics of air flow during speech production may often result in some small or large degree of turbulence. The author quantifies the geometry of speech turbulence, as reflected in the fragmentation of the time signal, by using fractal models. He describes an efficient algorithm for estimating the short-time fractal dimension of speech segmentation and sound classification. He also develops a method for fractal speech interpolation which can be used to synthesize controlled amounts of turbulence in speech or to increase its sampling rate by preserving not its bandwidth (as is classically done) but rather its fractal dimension.