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Speech Enhancement
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 "...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Signals and Communication Technology,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
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| 005 | 20220115202034.0 | ||
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| 024 | 7 | |a 10.1007/3-540-27489-8 |2 doi | |
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| 245 | 1 | 0 | |a Speech Enhancement |h [electronic resource] / |c edited by Jacob Benesty, Shoji Makino, Jingdong Chen. |
| 250 | |a 1st ed. 2005. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2005. | |
| 300 | |a XVIII, 406 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Signals and Communication Technology, |x 1860-4870 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Acoustics. | |
| 650 | 0 | |a User interfaces (Computer systems). | |
| 650 | 0 | |a Human-computer interaction. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Acoustics. |
| 650 | 2 | 4 | |a User Interfaces and Human Computer Interaction. |
| 700 | 1 | |a Benesty, Jacob. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Makino, Shoji. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Chen, Jingdong. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540805885 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642063176 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540240396 |
| 830 | 0 | |a Signals and Communication Technology, |x 1860-4870 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/3-540-27489-8 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||