Automatic Speech And Speaker Recognition

Author : Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461313670

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Automatic Speech and Speaker Recognition by Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal Pdf

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.

Author : Joseph Keshet,Samy Bengio
Publisher : John Wiley & Sons
Page : 268 pages
File Size : 47,7 Mb
Release : 2009-04-27
Category : Technology & Engineering
ISBN : 0470742038

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Automatic Speech and Speaker Recognition by Joseph Keshet,Samy Bengio Pdf

This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Author : N. Rex Dixon,Thomas B. Martin
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 448 pages
File Size : 41,6 Mb
Release : 1979
Category : Technology & Engineering
ISBN : UOM:39015002081563

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Automatic Speech & Speaker Recognition by N. Rex Dixon,Thomas B. Martin Pdf

Author : N. Rex Dixon,Thomas B. Martin
Publisher : Unknown
Page : 0 pages
File Size : 53,7 Mb
Release : 1979
Category : Electronic
ISBN : OCLC:1087702718

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Automatic Speech and Speaker Recognition by N. Rex Dixon,Thomas B. Martin Pdf

Author : Zheng-Hua Tan,Boerge Lindberg
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 44,5 Mb
Release : 2008-04-17
Category : Technology & Engineering
ISBN : 9781848001435

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Automatic Speech Recognition on Mobile Devices and over Communication Networks by Zheng-Hua Tan,Boerge Lindberg Pdf

The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems.

Author : A. Acero
Publisher : Springer Science & Business Media
Page : 197 pages
File Size : 50,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461531227

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Acoustical and Environmental Robustness in Automatic Speech Recognition by A. Acero Pdf

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.

Author : Homayoon Beigi
Publisher : Springer Science & Business Media
Page : 942 pages
File Size : 48,7 Mb
Release : 2011-12-09
Category : Technology & Engineering
ISBN : 9780387775920

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Fundamentals of Speaker Recognition by Homayoon Beigi Pdf

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.

Author : Laura Fernández Gallardo
Publisher : Springer
Page : 169 pages
File Size : 41,9 Mb
Release : 2015-08-17
Category : Technology & Engineering
ISBN : 9789812877277

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Human and Automatic Speaker Recognition over Telecommunication Channels by Laura Fernández Gallardo Pdf

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband.

Author : Joke Badejo,Tunji Ibiyemi
Publisher : LAP Lambert Academic Publishing
Page : 172 pages
File Size : 40,5 Mb
Release : 2013
Category : Electronic
ISBN : 3659335592

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Automatic Speaker and Speech Recognition by Joke Badejo,Tunji Ibiyemi Pdf

Automatic speech recognition and speaker recognition have a lot of applications in personal identification, access control and in the new man-machine-interface paradigm. The existing applications in voice-activated embedded systems solve the problem of recognition of the spoken words only or the problem of recognition of a speaker through the words uttered only. The goal of this project, therefore, is the development of a robust algorithm for both speech recognition and speaker verification. An example of a target application of this work is speech dialing of mobile phones with a speaker verification front-end in order to effect access control. In view of the memory and computational constraints of embedded systems, the dynamic time warping algorithm is used. This project only considers isolated spoken digits. The developed algorithm is coded in C language and can be ported to firmware for Arabic numeral digit recognition with a speaker verification front end for an embedded system like mobile phones. The system produced a FAR of 13.33% and a FRR of 24.3% for a total of 70 true claims and 30 false claims. It also had a word accuracy of 96.7%.

Author : Amit Kumar,Stefan Mozar
Publisher : Springer
Page : 453 pages
File Size : 51,5 Mb
Release : 2019-08-02
Category : Technology & Engineering
ISBN : 9789811387159

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ICCCE 2019 by Amit Kumar,Stefan Mozar Pdf

This book is a collection research papers and articles from the 2nd International Conference on Communications and Cyber-Physical Engineering (ICCCE – 2019), held in Pune, India in Feb 2019. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image- and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry.

Author : Christian Müller
Publisher : Springer
Page : 358 pages
File Size : 51,9 Mb
Release : 2007-08-28
Category : Computers
ISBN : 9783540742005

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Speaker Classification I by Christian Müller Pdf

This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.

Author : Jean-Paul Haton
Publisher : Springer Science & Business Media
Page : 373 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789400978799

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Automatic Speech Analysis and Recognition by Jean-Paul Haton Pdf

This book is the result of the second NATO Advanced Study Institute on speech processing held at the Chateau de Bonas, France, from June 29th to July 10th, 1981. This Institute provided a high-level coverage of the fields of speech transmission, recognition and understanding, which constitute important areas where research activity has re cently been associated with actual industrial developments. This book will therefore include both fundamental and applied topics. Ten survey papers by some of the best specialists in the field are included. They give an up-to-date presentation of several important problems in automatic speech processing. As a consequence the book can be considered as a reference manual on some important areas of automatic speech processing. The surveys are indicated by 'a * in the table of contents. This book also contains research papers corresponding to original works, which were presented during the panel sessions of the Institute. For the sake of clarity the book has been divided into five sections : 1. Speech Analysis and Transmission: An emphasis has been laid on the techniques of linear prediction (LPC), and the problems involved in the transmission of speech at various bit rates are addressed in details. 2. Acoustics and Phonetics : One'of the major bottleneck in the development of speech recogni tion systems remains the transcription of the continuous speech wave into some discrete strings or lattices of phonetic symbols. Two survey papers discuss this problem from different points of view and several practical systems are also described.

Author : Leena Mary
Publisher : Springer
Page : 62 pages
File Size : 54,7 Mb
Release : 2018-08-02
Category : Technology & Engineering
ISBN : 9783319911717

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Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition by Leena Mary Pdf

This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.

Author : Gerard Chollet,Maria-Gabriella Di Benedetto,Anna Esposito,Maria Marinaro
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 49,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447108450

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Speech Processing, Recognition and Artificial Neural Networks by Gerard Chollet,Maria-Gabriella Di Benedetto,Anna Esposito,Maria Marinaro Pdf

Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Topics covered in this book include; Fundamentals of Speech Analysis and Perceptron; Speech Processing; Stochastic Models for Speech; Auditory and Neural Network Models for Speech; Task-Oriented Applications of Automatic Speech Recognition and Synthesis.

Author : Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong
Publisher : Academic Press
Page : 306 pages
File Size : 41,5 Mb
Release : 2015-10-30
Category : Technology & Engineering
ISBN : 9780128026168

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Robust Automatic Speech Recognition by Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong Pdf

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