Segmentation and classification of nasal phonemes based on their time-frequency representation

Edgar F. Velez; Richard G. Absher

doi:10.1117/12.23476

1 November 1990 Segmentation and classification of nasal phonemes based on their time-frequency representation

Edgar F. Velez, Richard G. Absher

Proceedings Volume 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations; (1990) https://doi.org/10.1117/12.23476
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

Time-frequency analysis of speech provides detailed information which may be used for the study of its production mechanisms and for recognition purposes. The smoothed Wigner-Ville distribution can be used as an effective speech analysis tool when a high temporal resolution is required. Smoothing demands a careful balance between resolution and suppression of interferences in the distribution while taking into account the characteristics of the speech signal. The resulting representation is applied to analyze nasal phonemes and transitions in continuous speech and shown to unveil important transitory features not revealed by the spectrogram and to result in accurate segmentation and discrimination of their place of articulation.

Citation Download Citation

Edgar F. Velez and Richard G. Absher "Segmentation and classification of nasal phonemes based on their time-frequency representation", Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); https://doi.org/10.1117/12.23476

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