A noise robust feature extraction algorithm using joint wavelet packet subband decomposition and AR modeling of speech signals

Kotnik, Bojan; Kačič, Zdravko

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Naslov:	A noise robust feature extraction algorithm using joint wavelet packet subband decomposition and AR modeling of speech signals
Avtorji:	ID Kotnik, Bojan (Avtor) ID Kačič, Zdravko (Avtor)
Datoteke:	http://dx.doi.org/10.1016/j.sigpro.2006.10.009
Jezik:	Angleški jezik
Vrsta gradiva:	Neznano
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:	This paper presents a noise robust feature extraction algorithm NRFE using joint wavelet packet decomposition (WPD) and autoregressive (AR) modeling of a speech signal. In opposition to the short time Fourier transform (STFT)-based time-frequency signal representation, wavelet packet decomposition can lead to better representation of non-stationary parts of the speech signal (e.g. consonants). The vowels are well described with an AR model as in LPC analysis. The proposed Root-Log compression scheme is used to perform the computation of the wavelet packet parameters. The separately extracted WPD and AR-based parameters are combined together and then transformed with the usage of linear discriminant analysis (LDA) to finally produce a lower dimensional output feature vector. The noise robustness is improved with the application of proposed wavelet-based denoising algorithm with a modified soft thresholding procedure and time-frequency adaptive threshold. The proposed voice activity detector based on a skewness-to-kurtosis ratio of the LPC residual signal is used to effectively perform a frame-dropping principle. The speech recognition results achieved on Aurora 2 and Aurora 3 databases show overall performance improvement of 44.7% and 48.2% relative to the baseline MFCC front-end, respectively.
Ključne besede:	automatic speech recognition, autoregressive modeling, modified soft thresholding, noise robust speech parameterization, wavelet packet decomposition
Leto izida:	2007
PID:	20.500.12556/DKUM-25903
UDK:	621.39
COBISS.SI-ID:	11170838
ISSN pri članku:	0165-1684
NUK URN:	URN:SI:UM:DK:V5ZMGXBK
Datum objave v DKUM:	31.05.2012
Število ogledov:	2613
Število prenosov:	128
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Področja:	Ostalo
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Gradivo je del revije

Naslov:	Signal processing
Skrajšan naslov:	Signal process.
Založnik:	North-Holland
ISSN:	0165-1684
COBISS.SI-ID:	26394368

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