Speech Processing in Modern Communication

Challenges and Perspectives

Israel Cohen, Jacob Benesty, Sharon Gannot

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
04 May 2012

Communications engineering & telecommunications; Speech recognition; User interface design & usability

Series: Springer Topics in Signal Processing

Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems).

The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments.

Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eliminate the acoustic coupling between the loudspeaker and the microphone of a communication device. Identification of the relative transfer function between sensors in response to a desired speech signal enables to derive a reference noise signal for suppressing directional or coherent noise sources. Source localization, dereverberation, and beamforming in reverberant environments further enable to increase the intelligibility of the near-end speech signal.

Edited by: Israel Cohen, Jacob Benesty, Sharon Gannot
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2010 ed.
Volume: 3
Dimensions: Height: 235mm, Width: 155mm, Spine: 20mm
Weight: 551g
ISBN: 9783642262364
ISBN 10: 3642262368
Series: Springer Topics in Signal Processing
Pages: 342
Publication Date: 04 May 2012
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Linear System Identification in the Short-Time Fourier Transform Domain.- Identification of the Relative Transfer Function between Sensors in the Short-Time Fourier Transform Domain.- Representation and Identification of Nonlinear Systems in the Short-Time Fourier Transform Domain.- Variable Step-Size Adaptive Filters for Echo Cancellation.- Simultaneous Detection and Estimation Approach for Speech Enhancement and Interference Suppression.- Speech Dereverberation and Denoising Based on Time Varying Speech Model and Autoregressive Reverberation Model.- Codebook Approaches for Single Sensor Speech/Music Separation.- Microphone Arrays: Fundamental Concepts.- The MVDR Beamformer for Speech Enhancement.- Extraction of Desired Speech Signals in Multiple-Speaker Reverberant Noisy Environments.- Spherical Microphone Array Beamforming.- Steered Beamforming Approaches for Acoustic Source Localization.

Reviews for Speech Processing in Modern Communication: Challenges and Perspectives

From the reviews: The book, Speech Processing in Modern Communication: Challenges and Perspectives, contains twelve self-contained articles, which cover the ... topics well. ... a good reference for graduate students as well as industrial engineers in the area of speech processing. (Shie Qian, International Journal of Acoustics and Vibration, Vol. 17 (1), 2012)