Automatic segmentation of speech recorded in unknown noisy channel characteristics
Speech Communication - Special issue on robust speech recognition
Computer Speech Technology
Speech and Audio Signal Processing: Processing and Perception of Speech and Music
Speech and Audio Signal Processing: Processing and Perception of Speech and Music
Automatic Parameter Estimation for a Context-Independent Speech Segmentation Algorithm
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
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In this work we propose an algorithm for continuous speech segmentation with text independency. In our approach we do not use feature vectors in order to detect phoneme boundaries, instead we only make use of the intensity measure. Obtaining with this a remarkable reduction in the amount of information needed and simplified rules on the processing. In the process only a pre-emphasis filter, and one strategy based on a distance measure with normalized fuzzy memberships over the signal patterns are used. In the preliminary results the method reaches up to 77.54% of correct segmentation with a 20 msec. accuracy and an over segmentation rate near to 0%. The algorithm implementation, the experiments, as well as some results are shown.