ON THE NEURAL MODELING OF SPEECH PROCESSES.

Abstract

The work concerns the neural modeling of the human processes of speech production and perception. Part of this study deals with a new technique of speech synthesis. Newly defined generalized parameter waveforms, produced by an electronic waveform generator, are employed to approximate acoustic parameter transitions in the synthesis of dyad segments. The study also employs computer simulation studies to investigate neural models of: (1) the speech recognition process; (2) the control of speech production at the neural command level; and (3) feedback systems in the speech acquisition processes of babbling and mimicking. One of the preprocessing systems for speech recognition employs a new technique of detecting time sequences of features. In modeling these processes emphasis was on adaptive networks. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1966
Accession Number
AD0649160

Entities

People

  • Charles C. Tappert

Organizations

  • Cornell University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Automated Speech Recognition
  • Closed Loop Systems
  • Computer Simulations
  • Computers
  • Feedback
  • Generators
  • Perception
  • Preprocessing
  • Production
  • Recognition
  • Sequences
  • Simulations
  • Simulators
  • Waveform Generators
  • Waveforms

Readers

  • Life Cycle Cost Analysis
  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks
  • Microelectronics