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Automatic Speech Recognition On Vibrocervigraphic And Electromyographic Signals
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Book Synopsis Automatic Speech Recognition on Vibrocervigraphic and Electromyographic Signals by : Szu-Chen Stan Jou
Download or read book Automatic Speech Recognition on Vibrocervigraphic and Electromyographic Signals written by Szu-Chen Stan Jou and published by . This book was released on 2008 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Automatic speech recognition (ASR) is a computerized speech-to-text process, in which speech is usually recorded with acoustical microphones by capturing air pressure changes. This kind of air-transmitted speech signal is prone to two kinds of problems related to noise robustness and applicability. The former means the mixing of speech signal and ambient noise usually deteriorates ASR performance. The latter means speech could be overheard easily on the air-transmission channel, and this often results in privacy loss or annoyance to other people. This thesis research solves these two problems by using channels that contact the human body without air transmission, i.e., by vibrocervigraphic and electromyographic methods. The vibrocervigraphic (VCG) method measures the throat vibration with a ceramic piezoelectric transducer contact to the skin on the neck, and the electromyographic (EMG) method measures the muscular electric potential with a set of electrodes attached to the skin where the articulatory muscles underlie. The VCG and EMG methods are inherently more robust to ambient noise, and they make it possible to recognize whispered and silent speech to improve applicability. The major contribution of this dissertation includes feature design and adaptation for optimizing features, acoustic model adaptation for adapting traditional acoustic models onto different feature spaces, and articulatory feature classification for incorporating articulatory information to improve recognition. For VCG ASR, the combination of feature transformation methods and maximum a posteriori adaptation improves the recognition accuracy even with a very small data set. On top of that, additive performance gain is achieved by applying maximum likelihood linear regression and feature space adaptation with different data granularities in order to adapt to channel variations as well as to speaker variations. For EMG ASR, we propose the Concise EMG feature that extracts representative EMG characteristics. It improves the recognition accuracy and advances the EMG ASR research from isolated word recognition to phone-based continuous speech recognition. Articulatory features are studied in both VCG and EMG ASR to analyze the systems and improve recognition accuracy. These techniques are demonstrated to be effective on both experimental evaluations and prototype applications."
Book Synopsis Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling by : Wand, Michael
Download or read book Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling written by Wand, Michael and published by KIT Scientific Publishing. This book was released on 2015-02-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.
Book Synopsis Automatic Speech and Speaker Recognition by : Chin-Hui Lee
Download or read book Automatic Speech and Speaker Recognition written by Chin-Hui Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book 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.
Book Synopsis Acoustical and Environmental Robustness in Automatic Speech Recognition by : Alex Acero
Download or read book Acoustical and Environmental Robustness in Automatic Speech Recognition written by Alex Acero and published by Springer Science & Business Media. This book was released on 1992-11-30 with total page 216 pages. Available in PDF, EPUB and Kindle. Book 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.
Book Synopsis Surface Electromyography Based Speech Recognition System and Development Toolkit by : Daniel Chang
Download or read book Surface Electromyography Based Speech Recognition System and Development Toolkit written by Daniel Chang and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis describes the implementation of an automatic speech recognition system based on surface electromyography signals. Data collection was done using a bipolar electrode configuration with a sampling rate of 5.77 kHz. Four feature sets, the short-time Fourier transform (STFT), the dual-tree complex wavelet transform (DTCWT), a non-causal time-domain based (E4-NC), and a causal version of E4-NC (E4-C) were implemented. Classification was performed using a hidden Markov model (HMM). The system implemented was able to achieve an accuracy rate of 74.24% with E4-NC and 61.25% with E4-C. These results are comparable to previously reported results for offline, single session, isolated word recognition. Additional testing was performed on five subjects using E4-C and yielded accuracy rates ranging from 51.8% to 81.88% with an average accuracy rate of 64.9% during offline, single session, isolated word recognition. The E4-C was chosen since it offered the best performance among the causal feature sets and non-causal feature sets cannot be used with real-time online classification. Online classification capabilities were implemented and simulations using the confidence interval (CI) and minimum noise likelihood (MNL) decision rubrics yielded accuracy rates of 77.5% and 72.5%, respectively, during online, single session, isolated word recognition.
Author :N. Rex Dixon Publisher :Institute of Electrical & Electronics Engineers(IEEE) ISBN 13 : Total Pages :448 pages Book Rating :4.3/5 (91 download)
Book Synopsis Automatic Speech & Speaker Recognition by : N. Rex Dixon
Download or read book Automatic Speech & Speaker Recognition written by N. Rex Dixon and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1979 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speech Synthesis and Recognition by : Wendy Holmes
Download or read book Speech Synthesis and Recognition written by Wendy Holmes and published by CRC Press. This book was released on 2002-09-11 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing impact of information technology on daily life, speech is becoming increasingly important for providing a natural means of communication between humans and machines. This extensively reworked and updated new edition of Speech Synthesis and Recognition is an easy-to-read introduction to current speech technology. Aimed at advanced undergraduates and graduates in electronic engineering, computer science and information technology, the book is also relevant to professional engineers who need to understand enough about speech technology to be able to apply it successfully and to work effectively with speech experts. No advanced mathematical ability is required and no specialist prior knowledge of phonetics or of the properties of speech signals is assumed.
Book Synopsis Advancing Electromyographic Continuous Speech Recognition by : Michael Wand
Download or read book Advancing Electromyographic Continuous Speech Recognition written by Michael Wand and published by . This book was released on 2020-10-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Book Synopsis Multi-expert Automatic Speech Recognition System Using Myoelectric Signals by : Adrian Dart Cheong Chan
Download or read book Multi-expert Automatic Speech Recognition System Using Myoelectric Signals written by Adrian Dart Cheong Chan and published by . This book was released on 2002 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robustness in Automatic Speech Recognition by : Jean-Claude Junqua
Download or read book Robustness in Automatic Speech Recognition written by Jean-Claude Junqua and published by Springer. This book was released on 1995-10-31 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.
Book Synopsis New Systems and Architectures for Automatic Speech Recognition and Synthesis by : Renato De Mori
Download or read book New Systems and Architectures for Automatic Speech Recognition and Synthesis written by Renato De Mori and published by Springer. This book was released on 1985 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speech and Signals by : Walter F. Sendlmeier
Download or read book Speech and Signals written by Walter F. Sendlmeier and published by . This book was released on 2000 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signal Processing of Speech by : F. J. Owens
Download or read book Signal Processing of Speech written by F. J. Owens and published by MacMillan Publishing Company. This book was released on 1993 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Silent Speech Recognition by Surface Electromyography by : Andrzej B. Dobrucki
Download or read book Silent Speech Recognition by Surface Electromyography written by Andrzej B. Dobrucki and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: For some time, new methods based on a different than acoustic signal analysis are used for speech recognition. The purpose of nonacoustic signals is to allow silent communication. One of these methods based on the electromyography signal is generated by the human speech articulation system. This article presents a device for electromyographic (EMG) signal acquisition and the first measurements from its use.
Book Synopsis Automatic Speech Recognition in Adverse Acoustic Conditions by : Hans-Günter Hirsch
Download or read book Automatic Speech Recognition in Adverse Acoustic Conditions written by Hans-Günter Hirsch and published by . This book was released on 2008 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recent Advances in Speech Understanding and Dialog Systems by : Heinrich Niemann
Download or read book Recent Advances in Speech Understanding and Dialog Systems written by Heinrich Niemann and published by Springer. This book was released on 1988 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automatic Speech Recognition on Mobile Devices and over Communication Networks by : Zheng-Hua Tan
Download or read book Automatic Speech Recognition on Mobile Devices and over Communication Networks written by Zheng-Hua Tan and published by Springer. This book was released on 2008-03-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
