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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: 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: Publisher: ISBN: Category : Languages : en Pages : 3
Book Description
This paper presents a discussion of the unique and specialized requirements for a militarized speech recognizer. It also presents the tactical advantages of militarized speech recognition technology, as it could be applied in several Command and Control (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 normal operation was evaluated at normal environmental levels. Helicopter environments are relatively stationary. The environment does not spectrally vary enough during various flight profiles to affect recognition performance. However, the noise environment of military track vehicles is not nearly as stationary as the helicopter environment, and these variations must be taken into consideration. For our own work we wanted to eliminate the user from having to enroll in the environment altogether, and we wanted to eliminate environmental dependency. Our approach to eliminating the noise during the enrollment session (at least as far as the test subject was concerned) was to electrically mix environmental noise into the test subject input stream to the target speech recognizer. The RADC work indicated that the precise signal-to-noise ratio should not be too critical, and indeed, through.
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: James D. Bass Publisher: ISBN: Category : Automatic speech recognition Languages : en Pages : 23
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: Judith A. Markowitz Publisher: Prentice Hall ISBN: Category : Computers Languages : en Pages : 330
Book Description
Filled with advice and hints on how to select speech-recognition products and build applications, this book offers an unbiased treatment of speech-recognition technology, vendors, and future outlook.
Author: Daryle Gardner-Bonneau Publisher: Springer Science & Business Media ISBN: 1475729804 Category : Technology & Engineering Languages : en Pages : 316
Book Description
Human Factors and Voice Interactive Systems highlights the importance of human factors in speech technologies and presents and demonstrates the use of human factors, principles, methods, techniques, and tools in the design of speech-enabled applications. Included is coverage of automatic speech recognition, synthetic speech, and interactive voice response systems. Some chapters are devoted to specific applications of speech technology, and other chapters are either issue-oriented or provide a comprehensive view of human factors knowledge and `lessons learned' in a specific applications area. This book places special emphasis on interactive voice response (IVR), devoting seven of its fourteen chapters to both speech-enabled and `traditional' touch-tone-based IVR applications. Other chapters emphasize speech recognition application development, natural language processing, synthetic speech, and the use of speech technology in assistive devices for people with disabilities to further the goal of universal access to information technology for all.
Author: Earl T. Hill Publisher: ISBN: Category : Languages : en Pages : 96
Book Description
This thesis investigates the interfacing of voice recognition, also known as automatic speech recognition (ASR), with the Joint Interoperability of Tactical Command and Control Systems (JINTACCS) Automated Message Preparation System (JAMPS). The voice recognition system used is the Texas Instruments (TI) TI-SPEECH(tm) imbedded in the TI Portable Professional Computer (PPC). The writers able to load the JAMPS software onto the TIPPC's hard disk. With the vocabulary they built, they ran the JAMPS software on the TIPPC using voice recognition. Their results indicate ASR has an application in message preparation during military operations. ASR could curtail the time to prepare messages, and thereby reduce the time element in the command and control process. The authors propose a measure of performance to test how much time might be saved by using APR with JAMPS. They also suggest some areas for future research. Keywords: Voice recognition; Automatic Speech Recognition (ASR), JINTACCS, JAMPS, Message Preparation.
Author: Fang Chen Publisher: Springer Science & Business Media ISBN: 0387241566 Category : Computers Languages : en Pages : 399
Book Description
Bridging the gap between the needs of the technical engineer and cognitive researchers related to speech technology applications. Systematic approach focusing on the utility of speech related product design Designed to respond to the growing need for specific theories, tools and methods for design, testing and evaluating speech related human-system interfaces. Targeted at designers, engineers, and decision makers working in the area of speech technology research
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Author: James D. Bass
Author: Judith A. Markowitz
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Author: Daryle Gardner-Bonneau
Author: Earl T. Hill
Author: Fang Chen