Title :
Noise reduction using a soft-decision sine-wave vector quantizer
Author :
Quatieri, Thomas ; McAulay, Robert
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
Noise reduction is performed in the context of a high-quality harmonic zero-phase sine-wave analysis/synthesis system which is characterized by sine-wave amplitudes, a voicing probability, and a fundamental frequency. Least-squared error estimation of a harmonic sine-wave representation leads to a soft decision template estimate consisting of sine-wave amplitudes and a voicing probability. The least-squares solution is modified to use template-matching with nearest neighbors. The reconstruction is improved by using the modified least-squares solution only in spectral regions with low signal-to-noise ratio. The results, although preliminary, provide evidence that harmonic zero-phase sine-wave analysis/synthesis, combined with effective estimation of sine-wave amplitudes and probability of voicing, offers a promising approach to noise reduction
Keywords :
encoding; harmonic analysis; interference suppression; least squares approximations; probability; spectral analysis; speech synthesis; fundamental frequency; harmonic zero-phase analysis; least-squares solution; low SNR; nearest neighbors; noise reduction; sine-wave amplitudes; soft-decision sine-wave vector quantizer; spectral regions; template-matching; voicing probability; Amplitude estimation; Error analysis; Frequency synthesizers; Harmonic analysis; Hidden Markov models; Nearest neighbor searches; Noise reduction; Performance analysis; Power harmonic filters; Signal synthesis; Signal to noise ratio; Speech analysis; Speech enhancement; Speech recognition; Speech synthesis; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115955
