Patent ID: 6449594
Filing Date: 2002-09-10
Classification: G10L

Abstract:
A method of model adaptation for noisy speech recognition to determine cepstral mean vector and covariance matrix of adapted noisy speech from cepstral mean vectors and covariance matrices of noise and speech, said method comprising the steps of:transferring said cepstral mean vectors of noise and speech into linear spectral domain to obtain linear spectral mean vectors of noise and speech, respectively; combining said linear spectral mean vectors of noise and speech to obtain a linear spectral mean vector of noisy speech; transferring said linear spectral mean vector of noisy speech from linear spectral domain into cepstral domain, so as to determine a cepstral mean vector of adapted noisy speech; and multiplying said cepstral covariance matrices of speech and noise by a first and a second scaling factor, respectively, and combining said multiplied cepstral covariance matrices together, so as to determine a cepstral covariance matrix of adapted noisy speech.