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Title:
A noise robust feature extraction algorithm using joint wavelet packet subband decomposition and AR modeling of speech signals
Authors:
ID
Kotnik, Bojan
(
Author
)
ID
Kačič, Zdravko
(
Author
)
Files:
http://dx.doi.org/10.1016/j.sigpro.2006.10.009
Language:
English
Work type:
Unknown
Typology:
1.01 - Original Scientific Article
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
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.
Keywords:
automatic speech recognition
,
autoregressive modeling
,
modified soft thresholding
,
noise robust speech parameterization
,
wavelet packet decomposition
Year of publishing:
2007
PID:
20.500.12556/DKUM-25903
UDC:
621.39
ISSN on article:
0165-1684
COBISS.SI-ID:
11170838
NUK URN:
URN:SI:UM:DK:V5ZMGXBK
Publication date in DKUM:
31.05.2012
Views:
2611
Downloads:
128
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Signal processing
Shortened title:
Signal process.
Publisher:
North-Holland
ISSN:
0165-1684
COBISS.SI-ID:
26394368
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