NDLI: A formant frequency estimation algorithm for speech signals with low signal-to-noise ratio

Content Provider	IEEE Xplore Digital Library
Author	Fattah, S.A. Zhu, W.-P. Ahmad, M.O.
Copyright Year	2007
Description	Author affiliation: Concordia Univ., Montreal (Fattah, S.A.; Zhu, W.-P.; Ahmad, M.O.)
Abstract	In this paper, a new technique for the estimation of the formant frequency of noise-corrupted speech signals is presented. A ramp-cepstrum model for a one-sided autocorrelation function of the voiced speech is proposed considering the vocal-tract system as an autoregressive model with a periodic impulse-train excitation. A residue-based least- squares optimization algorithm is introduced to estimate the ramp-cepstrum model parameters which are then used to compute the formant frequencies. Synthetic and natural vowels as well as some naturally spoken sentences in noisy environments are tested. The experimental results demonstrate the efficacy of the proposed method at low levels of signal-to- noise ratio (SNR).
Starting Page	105
Ending Page	108
File Size	2427943
Page Count	4
File Format	PDF
ISBN	9781424411757
ISSN	15483746
DOI	10.1109/MWSCAS.2007.4488548
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency estimation Signal to noise ratio Working environment noise Signal processing algorithms Speech processing Autocorrelation Speech recognition Speech synthesis Linear predictive coding Cepstrum
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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