书目名称 | Noise Reduction in Speech Processing | 编辑 | Israel Cohen,Yiteng Huang,Jacob Benesty | 视频video | | 概述 | Overview of the state of the art of noise reduction algorithms.Concise Treatment | 丛书名称 | Springer Topics in Signal Processing | 图书封面 |  | 描述 | .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 | 出版日期 | Book 20091st edition | 关键词 | DSP; Interface; Microphone Arrays; Noise Reduction; Optimal Filtering; Spectral Enhancement; Speech Enhanc | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-00296-0 | isbn_softcover | 978-3-642-10137-3 | isbn_ebook | 978-3-642-00296-0Series ISSN 1866-2609 Series E-ISSN 1866-2617 | issn_series | 1866-2609 | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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