Philipos C. Loizou

Speech Enhancement (eBook, PDF)

Theory and Practice, Second Edition

• Format: PDF

Produktbeschreibung

With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing need to design speech enhancement algorithms that can improve speech intelligibility without sacrificing quality. This updated, expanded edition of the bestselling textbook responds to this need, broadening its scope to

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 711
• Erscheinungstermin: 25. Februar 2013
• Englisch
• ISBN-13: 9781466504226
• Artikelnr.: 57100050

Autorenporträt

Philipos C. Loizou earned his bachelor's, master's, and doctorate degrees in electrical engineering from Arizona State University in Tempe. A pioneer in the field of speech enhancement and noise reduction in cochlear implants, Dr. Loizou was one of the first to develop specific enhancement algorithms that directly improve intelligibility. He was a postdoctoral fellow in the Department of Speech and Hearing Science at Arizona State University, an assistant professor at the University of Arkansas in Little Rock, and Cecil and Ida Green Professor in the Department of Electrical Engineering at the University of Texas at Dallas. Dr. Loizou was a fellow of the Acoustical Society of America. He was an associate editor of the International Journal of Audiology (2010-2012), IEEE Transactions on Biomedical Engineering (2009-2011), IEEE Transactions on Speech and Audio Processing (1999-2002), and IEEE Signal Processing Letters (2006-2009) and a member of the Speech Technical Committee (2008-2010) of the IEEE Signal Processing Society. He authored or coauthored numerous publications, including three textbooks.

For more information, see Dr. Loizou's profile at the University of Texas at Dallas.

Watch a video of Dr. Loizou talking about technology that would allow cochlear implant users to easily adjust settings on their hearing devices through a smartphone.

Inhaltsangabe

Introduction. Part I Fundamentals: Discrete-Time Signal Processing and
Short-Time Fourier Analysis. Speech Production and Perception. Noise
Compensation by Human Listeners. Part II Algorithms: Spectral-Subtractive
Algorithms. Wiener Filtering. Statistical-Model-Based Methods. Subspace
Algorithms. Noise-Estimation Algorithms. Part III Evaluation: Evaluating
Performance of Speech Enhancement Algorithms. Objective Quality and
Intelligibility Measures. Comparison of Speech Enhancement Algorithms.
Part IV Future Steps: Algorithms That Can Improve Speech Intelligibility.
Appendices. Index.