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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1242-1246
M.E. Deisher , Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
A.S. Spanias , Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
ABSTRACT
An analysis/synthesis technique based on harmonic sinusoidal modeling of speech is used to develop a new hidden Markov model (HMM) based speech enhancement algorithm. State sequence estimation is done using a standard HMM-based approach. State-based enhancement is carried out by assuming a harmonic model for speech, i.e., by representing each block of speech as a sum of sine waves in terms of a set of amplitudes, phases, and harmonically related frequencies. Given the maximum a-posteriori probability (MAP) state sequence, the amplitudes, phases, voicing, and fundamental frequency are estimated. Simulation results are presented, comparing the performance of the proposed algorithm to that of a standard HMM-based approach. The proposed method was found to reduce the structured residual noise normally associated with HMM-based algorithms.<>
INDEX TERMS
speech enhancement, hidden Markov models, transforms, estimation theory, harmonic analysis, maximum likelihood estimation, speech intelligibility, noise abatement, acoustic noise, land mobile radio
CITATION

M. Deisher and A. Spanias, "Speech enhancement using a state-based transform model," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1242-1246.
doi:10.1109/ACSSC.1994.471657
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