26-09-2013 дата публикации
Номер: US20130253920A1
Принадлежит:
A method of processing a speech signal comprises converting the speech signal to digital signals, converting the digital speech signal into short-time frames, applying a Fast Fourier Transform to each of the short-time frames to obtain an original spectrum, deriving a varied spectrum based on the original spectrum, applying discrete cosine transform to compute original cepstrum coefficients for the original spectrum and varied cepstrum coefficients for the varied spectrum and generating a set of frontend feature vectors for each of the short-time frames. 1. A method of processing a speech signal , comprising:converting, by an analog-to-digital converter, the speech signal to digital signals;converting, by a windowing unit, the digital speech signal into short-time frames;applying, by a spectrum analyzer unit, a Fast Fourier Transform to each of the short-time frames to obtain an original spectrum;deriving, by a spectrum deriving unit, a varied spectrum based on the original spectrum;applying, by a discrete cosine transform unit, discrete cosine transform to compute original cepstrum coefficients for the original spectrum and varied cepstrum coefficients for the varied spectrum; andgenerating a set of frontend feature vectors for each of the short-time frames.2. The method of claim 1 , further comprising receiving claim 1 , by a sound pickup device or from a file input claim 1 , the speech signal from a speaker;3. The method of claim 1 , further comprising:assigning weighting parameters to each of the original cepstrum coefficients and varied cepstrum coefficients; andsuperposing, by an adder, the weighted original cepstrum coefficients and varied cepstrum coefficients to produce a set of superposed frontend feature vectors.4. The method of claim 3 , further comprising mean-normalizing claim 3 , by a mean normalization unit claim 3 , one of the superposed frontend feature vectors in an instance in which one of the superposed cepstrum coefficients is insensitive to ...
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