| 000 | 01127camuu2200349ia 4500 | |
| 001 | 000045211119 | |
| 005 | 20051206151722 | |
| 008 | 051206s2005 gw a b 001 0 eng d | |
| 010 | ▼a 2005921414 | |
| 016 | 7 | ▼a 973646438 ▼2 GyFmDB |
| 020 | ▼a 354024039X (hd.bd.) | |
| 029 | 0 | ▼a OHX ▼b har050023363 |
| 040 | ▼a OHX ▼c OHX ▼d BGU ▼d VA@ ▼d UAB ▼d 211009 | |
| 049 | ▼a KUBA | |
| 050 | 4 | ▼a TK7882.S65 ▼b S64 2005 |
| 072 | 7 | ▼a TK ▼2 lcco |
| 082 | 0 4 | ▼a 006.454 ▼2 22 |
| 090 | ▼a 006.454 ▼b S7423 | |
| 245 | 0 0 | ▼a Speech enhancement / ▼c [edited by] J. Benesty, S. Makino, J. Chen. |
| 260 | ▼a Berlin : ▼b Springer , ▼c 2005. | |
| 300 | ▼a xvii, 406 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 0 | ▼a Signals and communication technology |
| 500 | ▼a State of the art report. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Speech processing systems. |
| 700 | 1 | ▼a Benesty, Jacob. |
| 700 | 1 | ▼a Makino, Shoji. |
| 700 | 1 | ▼a Chen, Jingdong. |
| 938 | ▼a Otto Harrassowitz ▼b HARR ▼n har050023363 ▼c 106.95 EUR | |
| 945 | ▼a KINS | |
| 994 | ▼a C0 ▼b KUB |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.454 S7423 | 등록번호 121118127 (6회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
New feature
We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored.
This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology.
The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.
정보제공 :
목차
Study of the Wiener Filter for Noise Reduction.- Statistical Methods for the Enhancement of Noisy Speech.- Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model.- From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals.- Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation.- Signal Subspace Techniques for Speech Enhancement.- Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework.- Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction.- Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping.- Single-Microphone Blind Dereverberation.- Separation and Dereverberation of Speech Signals with Multiple Microphones.- Frequency-Domain Blind Source Separation.- Subband Based Blind Source Separation.- Real-Time Blind Source Separation for Moving Speech Signals.- Separation of Speech by Computational Auditory Scene Analysis.
정보제공 :
