Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition

Tebelskis, Joe, Waibel, Alex

Neural Information Processing Systems 

Connectionist Rpeech recognition systems are often handicapped by an inconsistency between training and testing criteria. This problem is addressed by the Multi-State Time Delay Neural Network (MS-TDNN), a hierarchical phonf'mp and word classifier which uses DTW to modulate its connectivit.y

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