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Related Experiment Videos

A simple subspace approach for speech denoising.

C Manfredi1, M Daniello, P Bruscaglioni

  • 1Department of Electronics and Telecommunications, University of Firenze, Italy. manfredi@det.unifi.it

Logopedics, Phoniatrics, Vocology
|June 20, 2002
PubMed
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This study introduces a fast subspace approach using singular value decomposition (SVD) to enhance pathological voice signals degraded by noise. The method effectively removes noise, improving voice quality for dysphonic speakers.

Area of Science:

  • Speech processing
  • Biomedical engineering
  • Acoustics

Background:

  • Hoarseness in pathological voices is often caused by vocal tract airflow turbulence, perceived as noise.
  • Speech signals can be degraded by additive white noise, impacting voice quality.
  • Existing methods may not be efficient or suitable for real-time applications.

Purpose of the Study:

  • To develop and evaluate a novel time-domain speech enhancement technique for pathological voices.
  • To address the challenge of noise reduction in speech signals from dysphonic speakers.
  • To enable real-time speech enhancement for assistive devices.

Main Methods:

  • A fast and reliable subspace approach utilizing low-order singular value decomposition (SVD).
  • Separation of signal and noise components within speech data frames.

Related Experiment Videos

  • Reconstruction of the filtered signal using signal subspace eigenvectors.

    • Main Results:

    • The SVD-based method demonstrated superior performance in increasing signal-to-noise ratio (SNR) compared to linear prediction (LP) filtering on synthetic data.
    • Successful application to real-world data from patients with hoarse voices post-cordectomy.
    • The technique allows for real-time implementation.

    Conclusions:

    • The proposed subspace approach effectively enhances pathological voice quality by removing additive noise.
    • This method offers a viable solution for real-time speech enhancement, aiding dysphonic speakers.
    • Potential to reduce speaking effort and mitigate social difficulties associated with voice disorders.