Transient analysis of speech signals using the Wigner time-frequency representation

Author

Velez, Edgar F. ; Absher, Richard G.

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Vermont Univ., Burlington, VT, USA

fYear

1989

Firstpage

2242

Abstract

Speech contains important information in the nonstationary transitions between sounds. The Wigner-Ville distribution (WVD) allows a time-frequency representation of these transients, which convey acoustic cues or information about the sound identity, place of articulation, and speech anomalies. Speech has a complex spectral structure, which requires a careful choice of WVD analysis and time smoothing windows to attenuate spectral interferences. The smoothed WVD (SWVD) analysis of synthetic and real continuous speech transitions accurately shows the formant dynamics, glottal excitation, and energy variations. A simple classification experiment based on nasal consonant to front vowel transition SWVD spectra is presented

Keywords

spectral analysis; speech analysis and processing; transients; Wigner time-frequency representation; Wigner-Ville distribution; acoustic cues; articulation; classification experiment; energy variations; formant dynamics; front vowel; glottal excitation; nasal consonant; nonstationary transitions; sound identity; spectral interferences attenuation; speech analysis; speech anomalies; speech processing; speech signals; speech transitions; time smoothing windows; transient analysis; Computer science; Frequency domain analysis; Interference; Resonance; Signal analysis; Signal resolution; Smoothing methods; Speech analysis; Time frequency analysis; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266911

Filename

266911