DocumentCode :
1616617
Title :
Robust model based methods for speech enhancement
Author :
Einicke, Garry A. ; White, Langford B.
Author_Institution :
CSIRO, Kenmore, Qld., Australia
Volume :
2
fYear :
1997
Firstpage :
471
Abstract :
The paper compares the performance of Kalman filter and hidden Markov model approaches for the recovery of speech from FM signals within impulsive noise environments. Two applications of speech recovery are investigated, namely within demodulation and post demodulation. Simulation studies are presented which illustrate the best case and worst case performance trends
Keywords :
Gaussian noise; Kalman filters; demodulation; filtering theory; frequency modulation; hidden Markov models; speech enhancement; FM signals; Gaussian measurement noise; Kalman filter; demodulation; hidden Markov model; impulsive noise environments; performance; post demodulation; robust model based methods; simulation studies; speech enhancement; speech recovery; Australia; Baseband; Demodulation; Frequency modulation; Gaussian noise; Hidden Markov models; Noise measurement; Noise robustness; Speech enhancement; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
Type :
conf
DOI :
10.1109/TENCON.1997.648247
Filename :
648247
Link To Document :
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