Optimal Time-Domain Noise Reduction Filters [electronic resource]: A Theoretical Study / by Jacob Benesty, Jingdong Chen.
Por: Benesty, Jacob [author.]
Colaborador(es): Chen, Jingdong | [author.] | SpringerLink (Online service)Tipo de material: 
TextoSeries SpringerBriefs in Electrical and Computer Engineering; -1Descripción: VII, 79p. 1 illus. in color. online resourceISBN: 9783642196010 99783642196010Tema(s): Engineering | Engineering | CODING AND INFORMATION THEORY | CODING THEORY | SIGNAL, IMAGE AND SPEECH PROCESSING | COMMUNICATIONS ENGINEERING, NETWORKS | TELECOMUNICACIÓNClasificación CDD: 621.382 Recursos en línea: ir a documento
Contenidos:
Resumen: Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.
Introduction -- Single-Channel Noise Reduction with a Filtering Vector -- Single-Channel Noise Reduction with a Rectangular Filtering Matrix -- Multichannel Noise Reduction with a Filtering Vector -- Multichannel Noise Reduction with a Rectangular Filtering Matrix.
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Biblioteca Jorge Álvarez Lleras | Digital | 621.382 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000612 |
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| 621.382 223 OFDM | 621.382 223 Integral and Diagnostic Intrusive Prediction of Speech Quality | 621.382 223 Statistical Pronunciation Modeling for Non-Native Speech Processing | 621.382 223 Optimal Time-Domain Noise Reduction Filters | 621.382 223 The Sound of Silence | 621.382 223 On the Achievable Rate of Stationary Fading Channels | 621.382 223 Self-Learning Speaker Identification |
Introduction -- Single-Channel Noise Reduction with a Filtering Vector -- Single-Channel Noise Reduction with a Rectangular Filtering Matrix -- Multichannel Noise Reduction with a Filtering Vector -- Multichannel Noise Reduction with a Rectangular Filtering Matrix.
Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.
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