Yan, Qin, Vaseghi, Saeed V., Zavarehei, Esfandiar and Milner, Ben P. (2006) Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement. In: 14th European Signal Processing Conference, 2006-09-04 - 2006-09-08.
Full text not available from this repository. (Request a copy)Abstract
This paper presents a method for noisy speech enhancement based on integration of a formant-tracking linear prediction (FTLP) model of spectral envelope and a harmonic noise model (HNM) of the excitation of speech. The time-varying trajectories of the parameters of the LP and HNM models are tracked with Viterbi classifiers and smoothed with Kalman filters. A frequency domain pitch estimation is proposed, that searches for the peak SNRs at the harmonics. The LP-HNM model is used to deconstruct noisy speech, de-noise its LP and HNM models and then reconstitute cleaned speech. Experimental evaluations show the performance gains resulting from the formant tracking, harmonic extraction and noise reduction stages.
Item Type: | Conference or Workshop Item (Paper) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies |
Related URLs: | |
Depositing User: | Vishal Gautam |
Date Deposited: | 18 Jul 2011 12:54 |
Last Modified: | 22 Apr 2023 02:45 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/23435 |
DOI: |
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