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Voice Recognition System In Noisy Environment
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Book Synopsis Voice Recognition System in Noisy Environment by : Vinit D. Patel
Download or read book Voice Recognition System in Noisy Environment written by Vinit D. Patel and published by . This book was released on 2011 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise from the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition. In this project, DTW algorithm is developed to study and to research the implementation of the speech recognition for single-word. In addition, in this project I implemented nearest neighbor algorithm followed by DTW, which helps to match the speech with different people's accents. For really good result I used wiener filter to increase signal to noise ratio of applied signal. Software portion is fully developed in MATLAB environment. At the other end, hardware part was concentrated on comparing and processing of applied speech with pre-stored speech signal using HM2007. Also after the processing, output of the hardware controls the system according to the speech.
Book Synopsis Techniques for Noise Robustness in Automatic Speech Recognition by : Tuomas Virtanen
Download or read book Techniques for Noise Robustness in Automatic Speech Recognition written by Tuomas Virtanen and published by John Wiley & Sons. This book was released on 2012-11-28 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field
Book Synopsis Speech Processing in Mobile Environments by : K. Sreenivasa Rao
Download or read book Speech Processing in Mobile Environments written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. The methods presented in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral enhancement methods to minimize the effect of noise and examining methods and models on speech and speaker recognition applications in mobile environments.
Book Synopsis Robust Speaker Recognition in Noisy Environments by : K. Sreenivasa Rao
Download or read book Robust Speaker Recognition in Noisy Environments written by K. Sreenivasa Rao and published by Springer. This book was released on 2014-06-21 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
Book Synopsis Acoustical and Environmental Robustness in Automatic Speech Recognition by : A. Acero
Download or read book Acoustical and Environmental Robustness in Automatic Speech Recognition written by A. Acero and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained. The use of microphones other than a "close talking" headset also tends to severely degrade speech recognition -performance. Even in relatively quiet office environments, speech is degraded by additive noise from fans, slamming doors, and other conversations, as well as by the effects of unknown linear filtering arising reverberation from surface reflections in a room, or spectral shaping by microphones or the vocal tracts of individual speakers. Speech-recognition systems designed for long-distance telephone lines, or applications deployed in more adverse acoustical environments such as motor vehicles, factory floors, oroutdoors demand far greaterdegrees ofenvironmental robustness. There are several different ways of building acoustical robustness into speech recognition systems. Arrays of microphones can be used to develop a directionally-sensitive system that resists intelference from competing talkers and other noise sources that are spatially separated from the source of the desired speech signal.
Book Synopsis Improvement of Voice Recognition Accuracy in a Noisy Environment Using Signal Preprocessing by : Robert S. Kilmartin
Download or read book Improvement of Voice Recognition Accuracy in a Noisy Environment Using Signal Preprocessing written by Robert S. Kilmartin and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Automatic Speech Recognition by : Jinyu Li
Download or read book Robust Automatic Speech Recognition written by Jinyu Li and published by Academic Press. This book was released on 2015-10-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications.The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided.The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years
Book Synopsis Speech in Mobile and Pervasive Environments by : Nitendra Rajput
Download or read book Speech in Mobile and Pervasive Environments written by Nitendra Rajput and published by John Wiley & Sons. This book was released on 2012-01-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a cross-disciplinary reference to speech in mobile and pervasive environments Speech in Mobile and Pervasive Environments addresses the issues related to speech processing on resource-constrained mobile devices. These include speech recognition in noisy environments, specialised hardware for speech recognition and synthesis, the use of context to enhance recognition and user experience, and the emerging software standards required for interoperability. This book takes a multi-disciplinary look at these matters, while offering an insight into the opportunities and challenges of speech processing in mobile environs. In developing regions, speech-on-mobile is set to play a momentous role, socially and economically; the authors discuss how voice-based solutions and applications offer a compelling and natural solution in this setting. Key Features Provides a holistic overview of all speech technology related topics in the context of mobility Brings together the latest research in a logically connected way in a single volume Covers hardware, embedded recognition and synthesis, distributed speech recognition, software technologies, contextual interfaces Discusses multimodal dialogue systems and their evaluation Introduces speech in mobile and pervasive environments for developing regions This book provides a comprehensive overview for beginners and experts alike. It can be used as a textbook for advanced undergraduate and postgraduate students in electrical engineering and computer science. Students, practitioners or researchers in the areas of mobile computing, speech processing, voice applications, human-computer interfaces, and information and communication technologies will also find this reference insightful. For experts in the above domains, this book complements their strengths. In addition, the book will serve as a guide to practitioners working in telecom-related industries.
Book Synopsis Multi-signal Processing for Voice Recognition in Noisy Environments by : Taysir H. Nayfeh
Download or read book Multi-signal Processing for Voice Recognition in Noisy Environments written by Taysir H. Nayfeh and published by . This book was released on 1991 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Noise Reduction in Speech Applications by : Gillian M. Davis
Download or read book Noise Reduction in Speech Applications written by Gillian M. Davis and published by CRC Press. This book was released on 2018-10-03 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Speech Recognition by : France Mihelič
Download or read book Speech Recognition written by France Mihelič and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Book Synopsis Speech Recognition in Noisy Environments by : Yifan Gong
Download or read book Speech Recognition in Noisy Environments written by Yifan Gong and published by . This book was released on 1993 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Speech Recognition in Noisy Environment by : Hang Shun Lee
Download or read book Robust Speech Recognition in Noisy Environment written by Hang Shun Lee and published by . This book was released on 1994 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Effects of Certain Background Noises on the Performance of a Voice Recognition System by : Richard S. Elster
Download or read book The Effects of Certain Background Noises on the Performance of a Voice Recognition System written by Richard S. Elster and published by . This book was released on 1980 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes an experiment concerning the influence of different levels of background noise on the performance of a voice recognition system. Three levels of noise were used: 38, 65 and 75dBA. The results suggest that if the device is trained at 38, 65, or 75dBA, performance will be satisfactory in 38 or 65dBA environments, while to be used in a 75dBA environment, the device should be trained in a 65 or 75dBA environment. (Author).
Book Synopsis AudioVisual (Multimodal) Speech Recognition System Using Deep Neural Network by : Hebsibah Paulin
Download or read book AudioVisual (Multimodal) Speech Recognition System Using Deep Neural Network written by Hebsibah Paulin and published by . This book was released on 2018 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recognizing the voice of a person by a smart device has become the need of the hour. Our cell phones are equipped with such features that converts speech to text, receives a command as a voice instruction instead of screen touch or pressing of a button. There are numerous intelligent machines such as automatic cars, robots, smart phones that use speech recognition features. These features are also very useful for people who are disabled and cannot use the smart devices with their hands. There are numerous techniques available to implement a speech recognition system. The need of such a system is to accurately recognize human voice at any circumstances, because the accent of each human differs for a single language, and also, the human voice is never devoid of noise and other emotional elements. So, the aim of such systems is to recognize human voices of different accents, even in a noisy environment. Because of this, an effective and robust speech recognition system has become important for machine and human interaction. Much voice-recognizing software depends purely on audio to recognize a voice, and one cannot guarantee that the audio will be noise free. In order to improve the accuracy and performance of traditional speech recognition system in a noisy environment, a new, nontraditional approach called a multimodal speech recognition system that uses both the audio and video features such as lip movement facial expression to recognize a speech is used. This article discusses the advantage of using video features along with the audio features with an experiment that proves it.
Book Synopsis Hands Free Continuous Speech Recognition in Noisy Environment Using a Four Microphone Array by : D. Giuliani
Download or read book Hands Free Continuous Speech Recognition in Noisy Environment Using a Four Microphone Array written by D. Giuliani and published by . This book was released on 1994 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Study on Speech Source Localization and Noise Reduction for Automatic Speech Recognition System in Noisy Environments by : 李聖捷
Download or read book A Study on Speech Source Localization and Noise Reduction for Automatic Speech Recognition System in Noisy Environments written by 李聖捷 and published by . This book was released on 2019 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt:
