DocumentCode :
2852357
Title :
Robust formant tracking in noise
Author :
Bruce, Ian C. ; Karkhanis, Neel V. ; Young, Eric D. ; Sachs, Murray B.
Author_Institution :
Department of Electrical and Computer Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada L8S 4K1
Volume :
1
fYear :
2002
fDate :
13-17 May 2002
Abstract :
While many algorithms exist for accurate extraction of formant frequencies from a speech waveform, these algorithms are not typically shown to be robust in the presence of highly-transient background noise such as competing speech waveforms. Preliminary results are presented from an algorithm using time-varying adaptive filters that appears to be robust in the presence of white, Gaussian noise or a single competing speaker over a large range of signal-to-noise ratios (quiet to −6 dB). Use of a synthesized sentence, for which the actual formant frequencies are known, permits quantitative assessment of the algorithm´s accuracy as a function of signal-to-noise ratio.
Keywords :
Robustness; Signal to noise ratio; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.2002.5743709
Filename :
5743709
Link To Document :
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