DocumentCode :
3361898
Title :
Adaptive Gain Equalizer for improvement of esophageal speech
Author :
Ishaq, Rizwan ; Garcia Zapirain, Begona
Author_Institution :
DeustoTech-LIFE, Univ. of Deusto, Bilbao, Spain
fYear :
2012
fDate :
12-15 Dec. 2012
Abstract :
The vocal fold modulate the air source from lungs to produce voicing source for speech production. The vocal fold essential part of speech production resides in larynx. The larynx cancer treatment necessitate removal of larynx, in consequences normal speech production destroyed due to no voicing source available. The new voicing source provided artificially or by use of Paryngo-esophageal(PE) segments. The voicing source or residual signal for Esophageal(E) speech uses PE segment, has irregular behavior, and produces degraded quality speech. This paper discussed and evaluated the residual signal or voicing source enhancement of E speech by incorporating speech enhancement method Adaptive Gain Equalizer(AGE), in time-frequency and modulation frequency along with formants modification by Line Spectral Frequencies(LSF) and Linear Predicative Coding(LPC). The system validated by measuring Harmonic to Noise Ratio(HNR) temporally and maximum of 4dB enhancement has been observed in comparison to Kalman filtering based enhancement where enhancement observed maximum of 2dB.
Keywords :
Kalman filters; adaptive equalisers; linear predictive coding; speech enhancement; time-frequency analysis; AGE; E speech enhancement; HNR; Kalman filtering based enhancement; LPC; LSF; PE segments; adaptive gain equalizer; esophageal speech; esophageal speech improvement; harmonic to noise ratio; larynx cancer treatment; line spectral frequencies; linear predictive coding; modulation frequency; paryngo-esophageal segments; residual signal; speech production; time-frequency; vocal fold; voicing source; Cancer; Flyback transformers; Speech; Speech enhancement; Esophageal speech; Filter bank; Linear predictive coding; adaptive gain equalizer; formant enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2012 IEEE International Symposium on
Conference_Location :
Ho Chi Minh City
Print_ISBN :
978-1-4673-5604-6
Type :
conf
DOI :
10.1109/ISSPIT.2012.6621278
Filename :
6621278
Link To Document :
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