Vocal Noise Cancellation From Respiratory Sounds

Abstract

Although background noise cancellation for speech or electrocardiographic recording is well established, however when the background noise contains vocal noises and the main signal is a breath sound, the problem becomes challenging as the signal and noise are no longer uncorrelated, In this paper, a technique for detecting the vocal noise within a breath sound and then removing it without hampering the main components of the breath sound is discussed, The results of this study show that the developed technique is successful and feasible in time domain, This technique may also be used to detect and separate wheezes from breath sounds in clinical assessments,

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412393

Entities

People

  • Zahra Moussavi

Organizations

  • University of Manitoba

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accelerometers
  • Acoustic Signals
  • Adaptive Filters
  • Background Noise
  • Cancellation
  • Detectors
  • Engineering
  • Filters
  • Filtration
  • Frequency
  • Noise
  • Notch Filters
  • Power Spectra
  • Respiratory Physiological Phenomena
  • Signal Processing
  • Spectra
  • Time Domain

Readers

  • Cardiovascular Physiology
  • Phased Array Antenna Design.
  • Speech Processing/Speech Recognition.