Noise Reduction Analysis

Noise Reduction Analysis

Noise Reduction Analysis

Written By A Noted Authority In The Subject Area, This Book Is A Comprehensive Study Of The Theory And Practical Application Of Noise Reduction To Numerous Fields. It May Be Used As A Reference By Scientists And Engineers Or In A Senior-Undergraduate Or Graduate-Level Course. The First Six Chapters Deal With The Basic Mechanisms Of Sound Absorption By Which Acoustic Energy Is Converted Into Heat In Viscous And Thermal Boundaries In A Sound Field. The Second Part Covers Duct Attenuators With A Discussion Of How Their Performance Is Described And Measured. The Main Part Of Each Chapter Is Planned To Be Descriptive, And Contains Numerical Results That Should Be Of Direct Interest For Design Work. Mathematical Analysis Is Placed At The End Of The Chapters.

Noise Reduction in Speech Processing

Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted. This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.