Noise Reduction in Speech Applications (eBook, PDF)

Redaktion: Davis, Gillian M.

• Format: PDF

Produktbeschreibung

This book provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it provides the necessary background in a tutorial-style chapter, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of special applications and the noise reduction results achievable with the techniques presented. Noise Reduction in Speech Applications thus prepares readers to determine if active noise reduction will solve problems in their own systems designs and explains how to make the best use of the technologies available.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 432
• Erscheinungstermin: 3. Oktober 2018
• Englisch
• ISBN-13: 9781420041262
• Artikelnr.: 53307965

Autorenporträt

Gillian M. Davis

Inhaltsangabe

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.