Speech Enhancement Techniques for Digital Hearing Aids

• Κύριοι συγγραφείς: Borisagar, Komal R. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Thanki, Rohit M. (http://id.loc.gov/vocabulary/relators/aut), Sedani, Bhavin S. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Biomedical engineering.; Optical data processing.; System safety.; Computer security.; Biometrics (Biology).; Signal, Image and Speech Processing.; Biomedical Engineering and Bioengineering.; Image Processing and Computer Vision.; Security Science and Technology.; Systems and Data Security.; Biometrics.

 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. 

 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.