Robust Speaker Recognition in Noisy Environments

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Publisher : Springer
ISBN 13 : 9783319071299
Total Pages : 0 pages
Book Rating : 4.0/5 (712 download)

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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 2014-07-17 with total page 0 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.

Speech Processing in Mobile Environments

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Publisher : Springer Science & Business Media
ISBN 13 : 3319031163
Total Pages : 129 pages
Book Rating : 4.3/5 (19 download)

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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.

Techniques for Noise Robustness in Automatic Speech Recognition

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Publisher : John Wiley & Sons
ISBN 13 : 1118392663
Total Pages : 514 pages
Book Rating : 4.1/5 (183 download)

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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 2012-09-19 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

Speech Recognition for Short Range Radio in a Noisy Environment

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (923 download)

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Book Synopsis Speech Recognition for Short Range Radio in a Noisy Environment by :

Download or read book Speech Recognition for Short Range Radio in a Noisy Environment written by and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Acoustical and Environmental Robustness in Automatic Speech Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 1461531225
Total Pages : 197 pages
Book Rating : 4.4/5 (615 download)

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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.

Robust Automatic Speech Recognition

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Publisher : Academic Press
ISBN 13 : 0128026162
Total Pages : 308 pages
Book Rating : 4.1/5 (28 download)

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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

Voice Recognition System in Noisy Environment

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Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (769 download)

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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.

Intelligent Speech Signal Processing

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Publisher : Academic Press
ISBN 13 : 0128181303
Total Pages : 210 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Speech Signal Processing by : Nilanjan Dey

Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-06-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

Robust Speech Recognition in Noisy Environment

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Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.:/5 (374 download)

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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:

Robust Speaker Recognition in Noisy Environments

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Author :
Publisher : Springer
ISBN 13 : 3319071300
Total Pages : 149 pages
Book Rating : 4.3/5 (19 download)

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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.

Speech Recognition

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Publisher : BoD – Books on Demand
ISBN 13 : 953761929X
Total Pages : 580 pages
Book Rating : 4.5/5 (376 download)

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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.

Noise Reduction in Speech Applications

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Publisher : CRC Press
ISBN 13 : 1420041266
Total Pages : 427 pages
Book Rating : 4.4/5 (2 download)

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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.

Speech Processing in Modern Communication

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Publisher : Springer Science & Business Media
ISBN 13 : 3642111300
Total Pages : 342 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Speech Processing in Modern Communication by : Israel Cohen

Download or read book Speech Processing in Modern Communication written by Israel Cohen and published by Springer Science & Business Media. This book was released on 2009-12-18 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems). The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments. Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eliminate the acoustic coupling between the loudspeaker and the microphone of a communication device. Identification of the relative transfer function between sensors in response to a desired speech signal enables to derive a reference noise signal for suppressing directional or coherent noise sources. Source localization, dereverberation, and beamforming in reverberant environments further enable to increase the intelligibility of the near-end speech signal.

Speech Recognition in Noisy Environments

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Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (112 download)

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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:

Speech recognition in noise environment

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (181 download)

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Book Synopsis Speech recognition in noise environment by :

Download or read book Speech recognition in noise environment written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Este trabalho apresenta um estudo comparativo de três técnicas de melhoria das taxas de reconhecimento de voz em ambiente adverso, a saber: Normalização da Média Cepestral (CMN), Subtração Espectral e Regressão Linear no Sentido da Máxima Verossimilhança (MLLR), aplicadas isoladamente e em concomitância, duas a duas. Os testes são realizados usando um sistema simples: reconhecimento de palavras isoladas (dígitos de zero a nove, e meia), modo dependente do locutor, modelos ocultos de Markov do tipo contínuo, e vetores de atributos com doze coeficientes cepestrais derivados da análise de predição linear. São adotados três tipos de ruído (gaussiano branco, falatório e de fábrica) em nove razões sinal-ruído diferentes. Os resultados experimentais demonstram que o emprego isolado das técnicas de reconhecimento robusto é, em geral, vantajoso, pois nas diversas razões sinal-ruído para as quais os testes são efetuados, quando as taxas de reconhecimento não sofrem um acréscimo, mantém-se as mesmas obtidas quando não se aplica nenhum método de aumento da robustez. Analisando-se comparativamente as implementações isoladas e simultânea das técnicas, constata-se que a simultânea nem sempre é atraente, dependendo da dupla empregada. Apresentam-se, ainda, os resultados decorrentes do uso de modelos ruidosos, observando-se que, embora sejam inegavelmente melhores, sua utilização é inviável na prática. Das técnicas implementadas, a que representa resultados mais próximos ao emprego de modelos ruidosos é a MLLR, seguida pela CMN, e por último pela Subtração Espectral. Estas últimas, embora percam em desempenho para a primeira, apresentam como vantagem a simplicidade e a generalidade. No que concerne as técnicas usadas concomitantemente, a dupla Subtração Espectral e MLLR é a considerada de melhor performance, pois mostra-se conveniente em relação ao emprego isolado de ambos os métodos, o que nem sempre ocorre com o uso de outras combinações das técnicas individuais.

Robust Speech Recognition Using a Noise Rejection Approach

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Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Robust Speech Recognition Using a Noise Rejection Approach by : Emdad Rahman Khan

Download or read book Robust Speech Recognition Using a Noise Rejection Approach written by Emdad Rahman Khan and published by . This book was released on 1998 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hands Free Continuous Speech Recognition in Noisy Environment Using a Four Microphone Array

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Publisher :
ISBN 13 :
Total Pages : 4 pages
Book Rating : 4.:/5 (258 download)

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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: