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Author: S. S. Everett Publisher: ISBN: Category : Languages : en Pages : 29
Book Description
Automatic speaker recognition (ASR) systems, capable of identifying a person based on voice input alone, have a wide range of potential applications in Navy environments. They could provide access control to restricted areas, equipment and information. They could verify the identity of users of various communication channels, or verify computer users through terminals accepting voice input. This report presents the results of a survey conducted to determine which type of application offers the best potential use of ASR for the Navy. The survey results also give a rough indication of the operational requirements of ASR systems in Naval environments. In designing an ASR system for a particular application there are a number of factors regarding the user and the environment that must be taken into consideration. These factors, and their impact on the operational requirements, are discussed in detail. The appendix of this report outlines the various approaches to ASR and the major ASR systems described in the literature. (Author).
Author: S. S. Everett Publisher: ISBN: Category : Languages : en Pages : 29
Book Description
Automatic speaker recognition (ASR) systems, capable of identifying a person based on voice input alone, have a wide range of potential applications in Navy environments. They could provide access control to restricted areas, equipment and information. They could verify the identity of users of various communication channels, or verify computer users through terminals accepting voice input. This report presents the results of a survey conducted to determine which type of application offers the best potential use of ASR for the Navy. The survey results also give a rough indication of the operational requirements of ASR systems in Naval environments. In designing an ASR system for a particular application there are a number of factors regarding the user and the environment that must be taken into consideration. These factors, and their impact on the operational requirements, are discussed in detail. The appendix of this report outlines the various approaches to ASR and the major ASR systems described in the literature. (Author).
Author: Joseph Keshet Publisher: John Wiley & Sons ISBN: 9780470742037 Category : Technology & Engineering Languages : en Pages : 268
Book Description
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: Chin-Hui Lee Publisher: Springer Science & Business Media ISBN: 1461313678 Category : Technology & Engineering Languages : en Pages : 524
Book Description
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: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 157
Book Description
What Is Speaker Recognition The identification of a person based on the features of their voice is referred to as "speaker recognition." The purpose of this information is to provide an answer to the query "Who is speaking?" Speech recognition and speaker recognition are both included in the broader concept of voice recognition. Verification of a speaker is distinct from identification of a speaker, and recognition of a speaker is not the same as diarization of a speaker. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Speaker recognition Chapter 2: Speech recognition Chapter 3: Voice analysis Chapter 4: Authentication Chapter 5: Interactive voice response Chapter 6: Biometrics Chapter 7: Electronic authentication Chapter 8: Multi-factor authentication Chapter 9: BioAPI Chapter 10: PerSay (II) Answering the public top questions about speaker recognition. (III) Real world examples for the usage of speaker recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of speaker recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of speaker recognition.
Author: Publisher: ISBN: Category : Languages : en Pages : 29
Book Description
This is a technical assessment paper intended for use by engineers and research scientist working on the development and integration of Automatic Speech Recognition (ASR), it will cover the state of speech and recognition technologies with emphasis on noise robust command and control (C2) application. The reliable elimination of the keyboard and mouse in mounted and un-mounted C2 systems has been a desire of systems developers and requirements writers since the development of PC-based ASR systems in the early 1990's. However, current research and commercial quality ASR applications never had the noise robustness to support a truly tactical C2 application. As ASR achieved limited operational success in noisy environments around the 2002 timeframe, the C2 requirements evolved to include the emerging system of systems approach and multilingual operational environments in support of the Global War On Terrorism (GWOT) in such environment's, the system must understand not just words as commands (ASR), but to understand phrases and sentences (semantic and syntactic) and reply in a conversational manner (speech and natural language generation). If the keyboard and mouse are to be truly eliminated, a system now needs to conduct a natural conversation with an operator and possibly others in the operational environment. This paper will cover the advances, limitations, and reasonable expectations from several levels: Research Scientist and Engineers, Program Executive Office (PEO), Program Manager (PM), and requirements office. I will also discuss the major technical challenges that remain as well as some risk assessment to help decision makers align expectations with reasonable availability dates based on current and future research efforts.
Author: ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (France) Publisher: ISBN: Category : Languages : en Pages : 121
Book Description
Contents: General Review of Military Applications of Voice Processing; The Speech Signal; Analysis, Synthesis And Transmission Of Speech Signals; Techniques for Automatic Speech Recognition; Speaker Differences in Speech and Speaker Recognition; Assessment of Speech Systems; A Survey of Current Equipment and Research; Reconnaissance Automatique De La Parole Dans Les Avions D'Armes; Inside A Speech Recognition Machine; and Voice Technology In Navy Training Systems.
Author: Publisher: ISBN: Category : Languages : en Pages : 14
Book Description
The US Army Communications/Electronics Research, Development and Engineering Center (CERDEC) at Fort Monmouth, NJ has been at the forefront of the research and development of speech recognition technologies for the tactical military environment for over twenty years. This includes the development of specialized techniques and technology to provide reliable performance in high noise environments. Additionally, unique to this technology is the ability to recognize whispered speech that is barely audible at one meter. The whispered speech recognition capability permits voice activation of C2 equipment during covert operations, such as urban house-to-house and room-to-room fighting, which requires the soldiers to maintain both hands weapons and an eyes-alert posture. This paper will presents a discussion of the unique and specialized requirements for a militarized speech recognizer, as well as the tactical advantages of militarized speech recognition technology as it could be applied in several C2 applications and environments. Additionally, this paper will present the results of a comparison study, which was performed between a custom military speech recognition technology and various manual input modalities, including keyboard and trackball, for activating a selected C2 application. The results of this paper demonstrate a clear superiority of continuous speech recognition over discrete speech recognition in both metrics, and a tradeoff of task execution speed for error rate for continuous speech recognition verses manual input.
Author: S. S. Everett
Author: S. S. Everett
Author: Joseph Keshet
Author: Bruno Beek
Author: Chin-Hui Lee
Author: Fouad Sabry
Author: 
Author: 
Author: Frederick E. White
Author: ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (France)
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