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E-book
Author Hendriks, Richard C. (Richard Christian)

Title DFT-domain based single-microphone noise reduction for speech enhancement : a survey of the state-of-the-art / Richard C. Hendriks, Timo Gerkmann, Jesper Jensen
Published Cham, Switzerland : Springer, ©2013
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Description 1 online resource (xii, 70 pages) : illustrations
Series Synthesis lectures on speech and audio processing, 1932-1678 ; #11
Synthesis lectures on speech and audio processing ; #11. 1932-121X
Contents Single channel speech enhancement-general principles -- DFT-based speech enhancement methods : signal model and notation -- Speech DFT estimators -- Speech presence probability estimation -- Noise PSD estimation -- Speech PSD estimation -- Performance evaluation methods -- Simulation experiments with single-channel enhancement systems -- Future directions
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
Summary As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere and at any time without user intervention. However, the presence of acoustical disturbances limits the use of these applications, degrades their performance, or causes the user difficulties in understanding the conversation or appreciating the device. A common way to reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field of single-microphone noise reduction for speech enhancement comprises a history of more than 30 years of research. In this survey, we wish to demonstrate the significant advances that have been made during the last decade in the field of discrete Fourier transform domain-based single-channel noise reduction for speech enhancement. Furthermore, our goal is to provide a concise description of a state-of-the-art speech enhancement system, and demonstrate the relative importance of the various building blocks of such a system. This allows the non-expert DSP practitioner to judge the relevance of each building block and to implement a close-to-optimal enhancement system for the particular application at hand
Analysis single-microphone
speech enhancement
noise reduction
Notes Part of: Synthesis digital library of engineering and computer science
Bibliography Includes bibliographical references (pages 57-67)
Notes Online resource; title from PDF title page (Morgan & Claypool, viewed on February 17, 2013)
Subject Speech processing systems -- Noise
COMPUTERS -- Optical Data Processing.
Speech processing systems -- Noise
Form Electronic book
Author Gerkmann, Timo.
Jensen, Jesper (College teacher)
ISBN 9781627051446
1627051449
9783031025648
3031025644
Other Titles Discrete Fourier transform-domain based single-microphone noise reduction for speech enhancement
OTHER TI Synthesis digital library of engineering and computer science. http://id.loc.gov/authorities/names/n2016188085