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Suman V. Ravuri

2 accepted papers

2016

A comparative study of recurrent neural network models for lexical domain classification

ICASSP 2016accepted

Domain classification is a critical pre-processing step for many speech understanding and dialog systems, as it allows for certain types of utterances to be routed to specialized subsystems. In previous work, we explored various neural network (NN) architectures for binary utterance classification b…

Cited by 0SourceScholar
2016

How neural network features and depth modify statistical properties of HMM acoustic models

ICASSP 2016accepted

Tandem neural network features, especially ones trained with more than one hidden layer, have improved word recognition performance, but why these features improve automatic speech recognition systems is not completely understood. In this work, we study how neural network features cope with the mism…

Cited by 0SourceScholar