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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 digital noise reduction will solve problems in their own systems designs and how to make the best use of the technologies available.
Gillian M. Davis
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.
