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Speech Enhancement Techniques for Digital Hearing Aids [electronic resource] / by Komal R. Borisagar, Rohit M. Thanki, Bhavin S. Sedani.

By: Borisagar, Komal R [author.].
Contributor(s): Thanki, Rohit M [author.] | Sedani, Bhavin S [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: IX, 155 p. 139 illus., 103 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319968216.Subject(s): Signal processing | Biomedical engineering | Computer vision | Security systems | Data protection | Biometric identification | Signal, Speech and Image Processing | Biomedical Engineering and Bioengineering | Computer Vision | Security Science and Technology | Data and Information Security | BiometricsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Generation of Speech Signal and its Characteristics -- Information of Adaptive Filters and Noises -- Information of Wavelet Transforms -- Speech Signal Enhancement using Adaptive Filters -- Speech Signal Enhancement using Adaptive Filters and Wavelet Transforms -- Future Research Direction -- Conclusion.
In: Springer Nature eBookSummary: This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm used for this purpose is also provided. Different types of adaptive filters such as Least Mean Squares (LMS), Normalized LMS (NLMS) and Recursive Lease Squares (RLS) are described for noise reduction in the speech signals. Different types of noises are taken to generate noisy speech signals, and therefore information on various noises signals is provided. The comparative performance of various adaptive filters for noise reduction in speech signals is also described. In addition, the book provides a speech enhancement technique using adaptive filtering and necessary frequency strength enhancement using wavelet transform as per the requirement of audiogram for digital hearing aids. Presents speech enhancement techniques for improving performance of digital hearing aids; Covers various types of adaptive filters and their advantages and limitations; Provides a hybrid speech enhancement technique using wavelet transform and adaptive filters.
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Introduction -- Generation of Speech Signal and its Characteristics -- Information of Adaptive Filters and Noises -- Information of Wavelet Transforms -- Speech Signal Enhancement using Adaptive Filters -- Speech Signal Enhancement using Adaptive Filters and Wavelet Transforms -- Future Research Direction -- Conclusion.

This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm used for this purpose is also provided. Different types of adaptive filters such as Least Mean Squares (LMS), Normalized LMS (NLMS) and Recursive Lease Squares (RLS) are described for noise reduction in the speech signals. Different types of noises are taken to generate noisy speech signals, and therefore information on various noises signals is provided. The comparative performance of various adaptive filters for noise reduction in speech signals is also described. In addition, the book provides a speech enhancement technique using adaptive filtering and necessary frequency strength enhancement using wavelet transform as per the requirement of audiogram for digital hearing aids. Presents speech enhancement techniques for improving performance of digital hearing aids; Covers various types of adaptive filters and their advantages and limitations; Provides a hybrid speech enhancement technique using wavelet transform and adaptive filters.

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