Package edu.cmu.sphinx.frontend.feature

Provides classes that processes features.

See:
          Description

Class Summary
BatchCMN Applies cepstral mean normalization (CMN), sometimes called channel mean normalization, to incoming cepstral data.
DeltasFeatureExtractor Computes the delta and double delta of input cepstrum (or plp or ...).
FrameDropper Drops certain feature frames, usually to speed up decoding.
LiveCMN Subtracts the mean of all the input so far from the Data objects.
S3FeatureExtractor Computes the delta and double delta of input cepstrum (or plp or ...).
 

Package edu.cmu.sphinx.frontend.feature Description

Provides classes that processes features. Examples include batch mode cepstral mean normalization, and the computation of delta and double delta of features.