Speech Recognition of Phones Using Feature Streams

Artiicial neural networks (ANNs) have been used to classify phonetic features in speech. The feature streams from the ANNs are used here as the observations for Hidden Markov Models (HMMs). Using such observations allows us to build a competitive speech recogniser. This recogniser is compared to a similar recogniser that was trained on mel-frequency cepstral coeecients (MFCCs). While the cepstral HMMs perform better, the feature HMMs do exhibit their potential for further development.