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| Author | : Antonios Farassopoulos |
| Publisher | : |
| Total Pages | : 195 |
| Release | : 1992 |
| Genre | : |
| ISBN | : |
| Author | : Komal R. Borisagar |
| Publisher | : Springer |
| Total Pages | : 155 |
| Release | : 2018-11-15 |
| Genre | : Technology & Engineering |
| ISBN | : 3319968211 |
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.
| Author | : Gillian M. Davis |
| Publisher | : CRC Press |
| Total Pages | : 427 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1420041266 |
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented. The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
| Author | : Jacob Benesty |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 416 |
| Release | : 2006-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3540274898 |
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
| Author | : Brady Nicholas Mahoney Laska |
| Publisher | : |
| Total Pages | : 390 |
| Release | : 2010 |
| Genre | : Audiology |
| ISBN | : |
| Author | : Jacob Benesty |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 366 |
| Release | : 2013-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3662110288 |
For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
| Author | : Michael John Link |
| Publisher | : |
| Total Pages | : 290 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
| Author | : Gautam Shreedhar Bhat |
| Publisher | : |
| Total Pages | : |
| Release | : 2021 |
| Genre | : Hearing aids |
| ISBN | : |
Signal processing algorithms are extensively used in hearing aid applications to improve the quality and intelligibility of speech. The hearing aid device (HAD) signal processing pipeline consists of several key modules that help to improve the perception for hearing-impaired listeners. In this dissertation, novel speech processing algorithms have been proposed that can be used in smartphone-based hearing aid (HA) setup. Every chapter of this dissertation concentrates on the individual modules of the signal processing pipeline in HADs. The first algorithm is developed for speech enhancement (SE) to suppress the background noise. A voice activity detector (VAD) to classify the incoming signal into speech or noise is developed. Signal enhancement techniques like blind source separation and dereverberation are developed. The algorithms are developed using conventional and supervised learning techniques. Objective and subjective evaluations are conducted for each of the proposed techniques to show substantial improvements in speech quality and intelligibility.
| Author | : Lino Garcia Morales |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 414 |
| Release | : 2011-09-06 |
| Genre | : Computers |
| ISBN | : 9533071583 |
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.
| Author | : Prajna Kunche |
| Publisher | : Springer Nature |
| Total Pages | : 110 |
| Release | : 2020-04-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030427463 |
This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader.
