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DFT-domain based single-microphone noise reduction for speech enhancement : a survey of the state-of-the-art /

Bibliographic Details
Main Author: Hendriks, Richard C. (Richard Christian)
Other Authors: Gerkmann, Timo, Jensen, Jesper (College teacher)
Format: eBook
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, [2013]
Series:Synthesis lectures on speech and audio processing ; #11.
Subjects:
Speech processing systems > Noise.
COMPUTERS / Optical Data Processing.
single-microphone
speech enhancement
noise reduction
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Acknowledgments
  • Glossary
  • 1. Introduction
  • 2. Single channel speech enhancement-general principles
  • 2.1 Analysis-modification-synthesis (AMS) system
  • 2.2 Finding the target estimate
  • 2.3 A priori knowledge and assumptions
  • 2.3.1 Taking speech signal characteristics into account
  • 2.3.2 Taking noise process characteristics into account
  • 2.3.3 Taking the human auditory system into account
  • 3. DFT-based speech enhancement methods-signal model and notation
  • 4. Speech DFT estimators
  • 4.1 Statistical modeling assumptions
  • 4.2 Spectral subtraction
  • 4.3 Linear MMSE estimators
  • 4.4 Non-linear MMSE estimators
  • 5. Speech presence probability estimation
  • 5.1 A posteriori speech presence probability
  • 5.2 Estimation of the model parameter H1
  • 5.2.1 Short-term adaptive estimate
  • 5.2.2 Fixed optimal H1
  • 5.3 Choosing the prior probabilities
  • 5.3.1 Adaptive prior probabilities
  • 5.3.2 Fixed prior probabilities
  • 5.4 Avoiding outliers
  • 6. Noise PSD estimation
  • 6.1 Methods based on VAD
  • 6.2 Methods based on minimum power level tracking
  • 6.3 SPP-based noise PSD estimation
  • 6.4 MMSE-based estimation of the noise PSD
  • 6.5 DFT-subspace estimation of the noise PSD
  • 7. Speech PSD estimation
  • 7.1 Maximum likelihood estimation and decision-directed approach
  • 7.2 Kalman-type filtering, Garch modeling, and noncausal estimation
  • 7.3 Temporal cepstrum smoothing
  • 7.4 Comparison of the estimators
  • 8. Performance evaluation methods
  • 8.1 Evaluating quality aspects of enhanced speech
  • 8.1.1 Listening tests
  • 8.1.2 Instrumental test methods
  • 8.2 Evaluating intelligibility of enhanced speech
  • 8.2.1 Listening tests
  • 8.2.2 Instrumental test methods
  • 9. Simulation experiments with single-channel enhancement systems
  • 10. Future directions
  • References
  • Authors' biographies.