PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Phone Classification with Segmental Features and a Binary-Pair Partitioned Neural Network Classifier
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Relevancy of time-frequency features for phonetic classification measured by mutual information
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Edge and Curve Detection for Visual Scene Analysis
IEEE Transactions on Computers
Open quotient measurements based on multiscale product of speech signal wavelet transform
Research Letters in Signal Processing
Analysis of multiscale products for step detection and estimation
IEEE Transactions on Information Theory
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An algorithm for voicing detection in noisy speech signal is proposed. This algorithm is based on the product of wavelet transforms at some scales called multi-scale product. The multi-scale product has the ability to reinforce the edge in the signal while suppressing additive noise. Motivated by the fact that unvoiced sounds are, in most important speech production models, considered as filtered noise, we apply the multi-scale product on speech signal for detection of voiced segments. In fact, the multi-scale product anneals the signal frames corresponding to unvoiced sounds and frames of silence, while it conserves speech periodicity for voiced frames.