Modeling drivers' speech under stress
Speech Communication - Special issue on speech and emotion
Falling person detection using multisensor signal processing
EURASIP Journal on Advances in Signal Processing
A wavelet-based parameterization for speech/music discrimination
Computer Speech and Language
Multiple resolution analysis for robust automatic speech recognition
Computer Speech and Language
Wavelet-based speech enhancement using time-frequency adaptation
EURASIP Journal on Advances in Signal Processing
HMM based falling person detection using both audio and video
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
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In this paper, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is developed. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filter-bank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse DCT computation. The new feature parameters have a robust speech recognition performance in car engine noise which is low pass in nature.