Restoration of noisy and band limited archived speech records with linear predictor and harmonic noise models

Yan, Qin, Vaseghi, Saeed V., Zavarehei, Esfandiar and Milner, Ben P. (2007) Restoration of noisy and band limited archived speech records with linear predictor and harmonic noise models. In: 15th European Signal Processing Conference, 2007-09-03 - 2007-09-07.

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Abstract

A method is presented for restoration of noisy bandlimited archived speech records. Speech is modeled with a formanttracking linear prediction (FTLP) model of the spectral envelope and a harmonic noise model (HNM) of the excitation. The timevarying trajectories of the parameters of the LP and HNM models are tracked with Viterbi classifiers and denoised with Kalman filters. A frequency domain pitch estimation is proposed, which 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 the cleaned speech. The missing spectrum at lower and higher frequency bands are reconstructed through spectral extrapolation of the LP-HNM model. Comparative evaluations show the performance gains obtained from the proposed method.

Item Type:	Conference or Workshop Item (Paper)
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 Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.eurasip.org/Proceedings/Eusip...
Depositing User:	Vishal Gautam
Date Deposited:	19 May 2011 08:47
Last Modified:	10 Dec 2024 01:14
URI:	https://ueaeprints.uea.ac.uk/id/eprint/23273
DOI:

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