منابع مشابه
Wavelet Parameterization for Speech Recognition
Typical parameterization schemes utilize linear prediction or melscaled filter-banks, which are classic windowed DFT based methods. In this paper a new optimized adaptive wavelet parameterization scheme is presented. A novel extension of the Best Basis algorithm is used on wavelet-packet cosine transform (WPCT) instead of typical filter bank. Obtained features are tested using Polish language H...
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In view of the growing use of automatic speech recognition in the modern society, we study various alternative representations of the speech signal that have the potential to contribute to the improvement of the recognition performance. Specifically, the main targets of the present article are to overview and evaluate the practical importance of some recently proposed, and thus less studied, wa...
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We propose a new vein of feature vectors for robust speech recognition that use denoised wavelet coefficients. Greater robustness to unexpected additive noise or spectrum distortions begins with more robust acoustic features. The use of wavelet coefficients is motivated by human acoustic process modelling and by the ability of wavelet coefficients to capture important time and frequency feature...
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In this paper, a new feature extraction methodology based on Wavelet Transforms is examined, which unlike some conventional parameterisation techniques, is flexible enough to cope with the broadly differing characteristics of typical speech signals. A training phase is involved during which the final classifier is invoked to associate a cost function (a proxy for misclassification) with a given...
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The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficients (WCC). In traditional cepstral analysis, the cepstrums are calculated with the use of the Discrete Fourier Transform (DFT). Owing to the fact that the DFT calculation assumes signal stationary between frames which in practice is not quite true, the WCC replaces the DFT block in the traditional ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/1968-2635