Buch, Englisch, 426 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 804 g
Reihe: Electrical Engineering & Applied Signal Processing Series
Buch, Englisch, 426 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 804 g
Reihe: Electrical Engineering & Applied Signal Processing Series
ISBN: 978-0-8493-0949-6
Verlag: CRC Press
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical.
Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented.
The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
TUTORIAL: Noise and Digital Signal Processing. SYSTEM ASPECTS: Analogue Techniques. Hardware Design Considerations. Software Design Considerations for Real-Time DSP Systems. Evaluating the Effects of Noise on Voice Communication Systems. DIGITAL ALGORITHMS AND IMPLEMENTATION: Single Channel Speech Enhancement. Microphone Arrays. Echo Cancellation. SPECIAL APPLICATIONS: Signal and Feature Compensation Methods for Robust Speech Recognition. Model Compensation and Matched Condition Methods for Robust Speech Recognition. Noise and Voice Quality in VoIP Environments. Noise Canceling Headsets for Speech Communication. Acoustic Crosstalk Reduction in Loudspeaker-Based Virtual Audio Systems. Interference in Telephone Circuits. An Adaptive Beamforming Perspective on Convolutive Blind Source Separation. Use of DSP Techniques to Enhance the Performance of Hearing Aids in Noise.
