Time-Frequency Representations for Speech Signals.

Abstract

This work addresses two related questions. The first question is what joint time-frequency energy representations are most appropriate for auditory signals, in particular, for speech signals in sonorant regions. The quadratic transf for the representation: (1) shift-invariance, (2) positivity, (3) superposition, (4) locality, and (5) smoothness. The second question addressed is how to obtain a rich, symbolic description of the phonetically relevant features om these time-frequency energy surfaces, the so-called schematic spectrogram Time-frequency ridges, the 2-D analog of spectral peaks, are one feature that is proposed. If non-oriented kernels are used for the energy representation, then the ridge tops can be identified with zero-crossings in the inner project of the gradient vector and the direction of greatest downward curvature. If oriented kernels are used, the method can be generalized to give better orientation selectivity (e.g., intersecting ridges) at the cost of poorer time-frequency locality.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA188661

Entities

People

  • Michael D. Riley

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Artificial Intelligence
  • Auditory Signals
  • Computer Science
  • Design Criteria
  • Detection
  • Digital Signal Processing
  • Doppler Effect
  • Electrical Engineering
  • Information Processing
  • Power Spectra
  • Recognition
  • Signal Detection
  • Signal Processing
  • Speech Analysis
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Linear Algebra
  • Speech Processing/Speech Recognition.