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Robust Speaker Recognition in Noisy Environments

2014-07-17 Technology & Engineering
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Release : 2014-07-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 299/5 ( reviews)

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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. This book was released on 2014-07-17. 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.

Robust Speech Recognition in Noisy Environment

1994 Automatic speech recognition
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Release : 1994
Genre : Automatic speech recognition
Kind : eBook
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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. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:

Techniques for Noise Robustness in Automatic Speech Recognition

2012-11-28 Technology & Engineering
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Release : 2012-11-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 881/5 ( reviews)

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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. This book was released on 2012-11-28. 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

Robust Automatic Speech Recognition

2015-10-30 Technology & Engineering
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Release : 2015-10-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 162/5 ( reviews)

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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. This book was released on 2015-10-30. 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

Robust Speech Recognition Under Noisy Environments

2004 Automatic speech recognition
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Release : 2004
Genre : Automatic speech recognition
Kind : eBook
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Book Synopsis Robust Speech Recognition Under Noisy Environments by : Siu Wa Lee

Download or read book Robust Speech Recognition Under Noisy Environments written by Siu Wa Lee. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

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