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SPEECH PRODUCTION AND PERCEPTION MODELS AND THEIR APPLICATIONS TO SYNTHESIS, RECOGNITION, AND CODING
 

Summary: SPEECH PRODUCTION AND PERCEPTION MODELS AND THEIR
APPLICATIONS TO SYNTHESIS, RECOGNITION, AND CODING
A. Alwan, S. Narayanan, B. Strope, and A. Shen,
Department of Electrical Engineering, UCLA
405 Hilgard Ave.
Los Angeles, CA 90024
ABSTRACT
The last few decades have witnessed tremendous
progress inthe performance, reliability,andwide-spread
use of speech-processing devices. Using mathematical
modelsof humanspeech production and perception has
been an important factor in the improved performance
of these devices. In this tutorial paper, we review
recent advances in speech production and perception
modeling and summarize the challenges that lie ahead
in developing fully parametric models.
1. INTRODUCTION
Quantitative models of human speech production and
perception provide important insights into our speech
production andperception mechanismsandleadtohigh-

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences