On the effect of the language in CMS channel normalization

"This paper presents a modification in a technique of channel normalization widely known as Cepstral Mean Subtraction (CMS). This modification is based on the introduction of language dependent phonetic modification. A careful investigation using Brazilian Portuguese was carried out showing that it is possible to improve the CMS channel identification through a constant vector, associated with the language, obtained from an estimation of the mean cepstral coefficients from clean speech signal over time. As a consequence of better channel estimation, better features normalization is attained. Computer simulations were carried out with cepstral coefficients extracted from Mel-scale in a speaker identification experiment where the proposed technique, in some cases, improved the recognition rate on the top of the CMS good results."