Wolfgang Herbordt

Sound Capture for Human / Machine Interfaces

Practical Aspects of Microphone Array Signal Processing

• Broschiertes Buch

Produktbeschreibung

With a continuously increasing desire for natural and comfortable human/machine interaction, the acoustic interface of any terminal for multimedia or telecommunication services is challenged to allow seamless and hands-free audio communication. Sound Capture for Human-Machine Interfaces introduces the practical aspects of microphone array signal processing and presents various combinations of beamforming and acoustic echo cancellation.

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Produktdetails

• Lecture Notes in Control and Information Sciences 315
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 11311942, 978-3-540-23954-3
• 2005
• Seitenzahl: 288
• Erscheinungstermin: 22. März 2005
• Englisch
• Abmessung: 235mm x 155mm x 16mm
• Gewicht: 444g
• ISBN-13: 9783540239543
• ISBN-10: 3540239545
• Artikelnr.: 13920353

Autorenporträt

Wolfgang Herbordt, Advanced Telecommunications Research Institute International, Kyoto, Japan

Inhaltsangabe

Space-Time Signals.- Optimum Linear Filtering.- Optimum Beamforming for Wideband Non-Stationary Signals.- A Practical Audio Acquisition System Using a Robust GSC (RGSC).- Beamforming Combined with Multi-Channel Acoustic Echo Cancellation.- Efficient Real-time Realization of an Acoustic Human/Machine Front-End.- Summary and Conclusions.- A Estimation of Signal-to-Interference-plus-Noise Ratios (SINRs) Exploiting Non-Stationarity.- B Experimental Setups and Acoustic Environments.- C Notations.

Rezensionen

From the reviews:

"This is a research book, a monograph, devoted to an actual problem: the design of the acoustic front-end to provide a seamless and hands-free communication in the frame of the human / machine interaction. ... the theory is developed at an adequate mathematical level together with numerous experiments enforcing the conceptual frame. ... The book represents an excellent 'instrument de travail' for specialists in statistical and adaptive signal processing." (D. Stanomir, Mathematical Reviews, Issue 2006 e)