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A Conceptual Framework for Noise Reduction [electronic resource] / by Jacob Benesty, Jingdong Chen.

By: Benesty, Jacob [author.].
Contributor(s): Chen, Jingdong [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: VIII, 89 p. 11 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319129556.Subject(s): Engineering | Electrical engineering | Engineering | Signal, Image and Speech Processing | Communications Engineering, NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain.
In: Springer eBooksSummary: Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.
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1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain.

Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

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