Training wideband acoustic models in the cepstral domain using mixed-bandwidth training data for speech recognition

A computer storage medium having computer-executable instructions for performing steps comprising:

• setting values for model parameters for a Hidden Markov Model in the cepstral domain;
• converting the cepstral model parameters to the spectral domain to form spectral model parameters;
• modifying the spectral model parameters;
• and
• converting the spectral model parameters to the cepstral domain.

A computer storage medium having computer-executable instructions for performing steps comprising:

• converting cepstral domain acoustic model means into a past set of spectral domain acoustic model means by applying an inverse transform to each cepstral domain acoustic mean to form an inverse transformed cepstral domain mean and adding a same constant value to each inverse transformed cepstral domain mean;
• using values in a first set of training vectors that represent all frequency components in a set of frequency components and using values in a second set of training vectors that represent fewer than all of the frequency components in the set of frequency components together with the past set of spectral domain acoustic model means to train a set of spectral domain acoustic model parameters;
• and
• converting the set of spectral domain acoustic model parameters into a set of cepstral domain acoustic model parameters.