Robust Automatic Speech Recognition Book

Robust Automatic Speech Recognition


  • Author : Jinyu Li
  • Publisher : Academic Press
  • Release Date : 2015-10-30
  • Genre: Technology & Engineering
  • Pages : 306
  • ISBN 10 : 9780128026168

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Robust Automatic Speech Recognition 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

Techniques for Noise Robustness in Automatic Speech Recognition Book

Techniques for Noise Robustness in Automatic Speech Recognition


  • Author : Tuomas Virtanen
  • Publisher : John Wiley & Sons
  • Release Date : 2012-11-28
  • Genre: Technology & Engineering
  • Pages : 514
  • ISBN 10 : 9781119970880

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Techniques for Noise Robustness in Automatic Speech Recognition 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

Acoustical and Environmental Robustness in Automatic Speech Recognition Book

Acoustical and Environmental Robustness in Automatic Speech Recognition


  • Author : A. Acero
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Technology & Engineering
  • Pages : 186
  • ISBN 10 : 9781461531227

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Acoustical and Environmental Robustness in Automatic Speech Recognition 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 Adaptation to Non Native Accents in Automatic Speech Recognition Book

Robust Adaptation to Non Native Accents in Automatic Speech Recognition


  • Author : Silke Goronzy
  • Publisher : Springer Science & Business Media
  • Release Date : 2002-12-19
  • Genre: Computers
  • Pages : 135
  • ISBN 10 : 9783540003250

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Robust Adaptation to Non Native Accents in Automatic Speech Recognition Excerpt :

Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems. In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system.

Robust Speech Book
Score: 2
From 1 Ratings

Robust Speech


  • Author : Michael Grimm
  • Publisher : BoD – Books on Demand
  • Release Date : 2007-06-01
  • Genre: Computers
  • Pages : 471
  • ISBN 10 : 9783902613080

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Robust Speech Excerpt :

This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task of voice activity detection which is considered an important issue for all speech recognition systems. The next chapters give several extensions to state-of-the-art HMM methods. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions. Two chapters on the automatic recognition of a speaker's emotional state highlight the importance of natural speech understanding and interpretation in voice-driven systems. The last chapters of the book address the application of conversational systems on robots, as well as the autonomous acquisition of vocalization skills.

New Era for Robust Speech Recognition Book

New Era for Robust Speech Recognition


  • Author : Shinji Watanabe
  • Publisher : Springer
  • Release Date : 2018-05-24
  • Genre: Computers
  • Pages : 436
  • ISBN 10 : 3319878492

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New Era for Robust Speech Recognition Excerpt :

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Noise Reduction in Speech Applications Book

Noise Reduction in Speech Applications


  • Author : Gillian M. Davis
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Genre: Technology & Engineering
  • Pages : 432
  • ISBN 10 : 9781420041262

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Noise Reduction in Speech Applications 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.

Distant Speech Recognition Book
Score: 2
From 1 Ratings

Distant Speech Recognition


  • Author : Matthias Woelfel
  • Publisher : John Wiley & Sons
  • Release Date : 2009-04-20
  • Genre: Technology & Engineering
  • Pages : 600
  • ISBN 10 : 9780470714072

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Distant Speech Recognition Excerpt :

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.

Automatic Speech Recognition Book

Automatic Speech Recognition


  • Author : Dong Yu
  • Publisher : Springer
  • Release Date : 2014-11-11
  • Genre: Technology & Engineering
  • Pages : 321
  • ISBN 10 : 9781447157793

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Automatic Speech Recognition Excerpt :

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

Automatic Speech and Speaker Recognition Book

Automatic Speech and Speaker Recognition


  • Author : Chin-Hui Lee
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Technology & Engineering
  • Pages : 518
  • ISBN 10 : 9781461313670

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Automatic Speech and Speaker Recognition Excerpt :

Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.

Audio Source Separation and Speech Enhancement Book

Audio Source Separation and Speech Enhancement


  • Author : Emmanuel Vincent
  • Publisher : John Wiley & Sons
  • Release Date : 2018-07-24
  • Genre: Technology & Engineering
  • Pages : 504
  • ISBN 10 : 9781119279914

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Audio Source Separation and Speech Enhancement Excerpt :

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.

Robust Automatic Speech Recognition Book

Robust Automatic Speech Recognition


  • Author : Jinyu Li
  • Publisher : Academic Press
  • Release Date : 2015-10-15
  • Genre: Uncategoriezed
  • Pages : 250
  • ISBN 10 : 0128023988

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Robust Automatic Speech Recognition Excerpt :

" Robust Automatic Speech Recognition: A Bridge to Practical Applications" establishes a solid and consistent foundation for noise-robust automatic speech recognition (ASR) and provides a thorough overview of modern noise-robust techniques which have been developed over the past 30 years. The book emphasizes practical methods that are proven to be successful, also discussing those that are likely to be developed further for future applications. In addition, the pros and cons of using noise-robust ASR techniques for different applications are given, providing users with a practical guide to selecting the best methods for future applications. Connects noise-robust speech recognition methods to machine learning technologiesContains a unified, state-of-the-art survey of successful noise robust speech recognition technologiesProvides several ways to classify noise-robust speech recognition technologies into different categoriesAuthored by leading researchers at Microsoft

Statistical Language and Speech Processing Book

Statistical Language and Speech Processing


  • Author : Thierry Dutoit
  • Publisher : Springer
  • Release Date : 2018-10-08
  • Genre: Computers
  • Pages : 191
  • ISBN 10 : 9783030008109

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Statistical Language and Speech Processing Excerpt :

This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018. The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.

Pattern Recognition in Speech and Language Processing Book

Pattern Recognition in Speech and Language Processing


  • Author : Wu Chou
  • Publisher : CRC Press
  • Release Date : 2003-02-26
  • Genre: Technology & Engineering
  • Pages : 413
  • ISBN 10 : 9780203010525

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Pattern Recognition in Speech and Language Processing Excerpt :

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco

Applied Computer Sciences in Engineering Book

Applied Computer Sciences in Engineering


  • Author : Juan Carlos Figueroa-García
  • Publisher : Springer
  • Release Date : 2021-10-23
  • Genre: Computers
  • Pages : 526
  • ISBN 10 : 3030867013

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Applied Computer Sciences in Engineering Excerpt :

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellín, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.