Applications of digital signal processing to audio and acoustics
- 其他作者: Kahrs, Mark. , Brandenburg, Karlheinz,
- 出版: New York : Kluwer Academic ©2002.
- 稽核項: 1 online resource (xxxi, 545 pages) :illustrations.
- 叢書名: The Kluwer international series in engineering and computer science ;SECS 437
- 標題: Sound , TECHNOLOGY & ENGINEERING , Sound Recording and reproducing. , Signal processing , Speech processing systems. , Signaalverwerking. , Multimedia systems. , Digital techniques. , TECHNOLOGY & ENGINEERING Electrical. , Recording and reproducing. , Digitale technieken. , Signal processing Digital techniques. , Electronic books. , Akoestische fonetiek. , Electrical.
- ISBN: 030647042X , 9780306470424
- ISBN: 9780792381303 , 0792381300
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 467-534) and index.
- 摘要: With the advent of `multimedia', digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing to become a research field of its own. To date, most research in DSP applied to sound has been concentrated on speech, which is bandwidth limited to about 4 kilohertz. Speech processing is also limited by the low fidelity typically expected in the telephone network. Today, the main applications of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including perceptual measurement techniques and analysis/synthesis methods. Additional important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application-oriented research. The frequency range of wideband audio has an upper limit of 20 kilohertz and the resulting difference in frequency range and Signal to Noise Ratio (SNR) due to sample size must be taken into account when designing DSP algorithms. There are whole classes of algorithms that the speech community is not interested in pursuing or using. These algorithms and techniques are revealed in this book. This book is suitable for advanced level courses and serves as a valuable reference for researchers in the field. Interested and informed engineers will also find the book useful in their work.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=69610
- 系統號: 005298066
- 資料類型: 電子書
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Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.
來源: Google Book
來源: Google Book
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