Knowledge-Based Pitch Detection.

Abstract

Many problems in signal processing involve a mixture of numerical and symbolic knowledge. Examples of problems of this sort include the recognition of speech and the analysis of images. This thesis focuses on the problem of employing a mixture of symbolic and numerical knowledge within a single system, through the development of a system directed at a modified pitch detection problem. For this thesis, the conventional pitch detection problem was modified by providing a phonetic transcript and sex/age information as input to the system, in addition to the acoustic waveform. The Pitch Detector's Assistant (PDA) system that was developed is an interactive facility for evaluating ways of approaching this problem. The PDA system allows the user to interrupt processing at any point, change either input data, derived data, or problem knowledge and continue execution. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA169069

Entities

People

  • Webster P. Dove

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Birds
  • Computational Science
  • Computer Programming
  • Computers
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Language
  • Mathematical Analysis
  • Pattern Recognition
  • Probabilistic Models
  • Recognition
  • Signal Processing
  • Statistics
  • Waveforms

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design