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ContextDependent Connectionist Probability Estimation in a Hybrid HMMNeural Net Speech Recognition System
 

Summary: 1
Context­Dependent Connectionist Probability Estimation in a
Hybrid HMM­Neural Net Speech Recognition System
Horacio Franco + , Michael Cohen + , Nelson Morgan # ,
David Rumelhart § and Victor Abrash +
+ SRI International
# International Computer Science Institute
§ Stanford University
Running title: Context­Dependent Probability Estimation
Address correspondence to:
Horacio Franco
SRI International
333 Ravenswood Ave.
Menlo Park, CA 94025.

2
Abstract
In this paper we present a training method and a network architecture for estimating context­
dependent observation probabilities in the framework of a hybrid hidden Markov model (HMM) /
multi layer perceptron (MLP) speaker­independent continuous speech recognition system. The

  

Source: Abrash, Victor - Speech Technology & Research Laboratory, SRI International

 

Collections: Computer Technologies and Information Sciences