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Speech Recognition Articulatory Feature Detection And Speech Synthesis In Multiple Languages
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Book Synopsis Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages by :
Download or read book Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages written by and published by . This book was released on 2009 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document provides a summary of work completed by General Dynamics under the work unit 71840871, Speech Interfaces for Multinational Collaboration, for the period August 2004 to February 2009 under contract FA8650-04-C-6443. The speech technologies developed during this period include speech recognizers, Articulatory Feature (AF) detectors, and speech synthesizers. Speech recognition systems were developed for 15 different languages, and three methods were investigated for improving the performance of the systems: vocal tract length normalization, speaker adaptive training, and recognizer output voting error reduction. English AF detectors were developed using Gaussian mixture models, two-class Multi-Layer Perceptrons (MLPs), fusion MLPs, and multi-class MLPs. The outputs of the AF detectors were used to form the feature set for a speech recognizer. Speech synthesis systems were created for 13 different languages, and the following system modifications were investigated: expanding the label set to include additional contextual factors, changing the minimum description length control factor, and applying speaker clustering and adaption to create new voices. In addition, two graphical user interfaces were developed for training new voices and synthesizing speech in real-time.
Book Synopsis Multilingual Articulatory Features for Speech Recognition by : Brian M. Ore
Download or read book Multilingual Articulatory Features for Speech Recognition written by Brian M. Ore and published by . This book was released on 2007 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Articulatory features describe the way in which the speech organs are used when producing speech sounds. Research has shown that incorporating this information into speech recognizers can lead to an improvement in system performance. The majority of previous work, however, has been limited to detecting articulatory features in a single language. In this thesis, Gaussian Mixture Models (GMMs) and Multi-Layer Perceptrons (MLPs) were used to detect articulatory features in English, German, Spanish, and Japanese. The outputs of the detectors were used to form the feature set for a Hidden Markov Model (HMM)-based phoneme recognizer. The best overall detection and recognition performance was obtained using MLPs with context. Compared to Mel-Frequency Cepstral Coefficient (MFCC)-based systems, the proposed feature sets yielded an increase of up to 4.39% correct and 5.37% accuracy when using monophone models, and an increase of up to 3.22% correct and 2.60% accuracy with triphone models. On a word recognition task, however, the MFCC systems performed better. Multilingual articulatory feature detectors were also created for all four languages using MLPs. An additional feature set was created using the multilingual detectors and evaluated on the same phoneme recognition task. Compared to the feature sets created with the language-dependent MLP detectors, the maximum decrease in system performance with monophone models was 1.44% correct and 1.72% accuracy on Japanese, and the maximum improvement in system performance with triphone models was 0.75% correct and 0.40% accuracy on Spanish. On a word recognition task, the feature sets created with the multilingual MLP detectors yielded a decrease of up to 3.75% correct and 6.01% accuracy. As a final experiment, two different procedures were investigated for combining the scores from the English GMM and MLP articulatory feature detectors. It was found that the detection performance for each articulatory feature can be improved by combining the scores from all GMM and MLP detectors.
Book Synopsis Expression in Speech by : Mark Tatham
Download or read book Expression in Speech written by Mark Tatham and published by Oxford University Press, USA. This book was released on 2004 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human beings communicate expressively with each other in conversation: now in the computer age there is a perceived need for machines to communicate expressively with humans in dialogue. This title presents research examining expressive content in speech with a view to simulating expression in computer speech.
Book Synopsis Speechreading by Humans and Machines by : David G. Stork
Download or read book Speechreading by Humans and Machines written by David G. Stork and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one outcome of the NATO Advanced Studies Institute (ASI) Workshop, "Speechreading by Man and Machine," held at the Chateau de Bonas, Castera-Verduzan (near Auch, France) from August 28 to Septem ber 8, 1995 - the first interdisciplinary meeting devoted the subject of speechreading ("lipreading"). The forty-five attendees from twelve countries covered the gamut of speechreading research, from brain scans of humans processing bi-modal stimuli, to psychophysical experiments and illusions, to statistics of comprehension by the normal and deaf communities, to models of human perception, to computer vision and learning algorithms and hardware for automated speechreading machines. The first week focussed on speechreading by humans, the second week by machines, a general organization that is preserved in this volume. After the in evitable difficulties in clarifying language and terminology across disciplines as diverse as human neurophysiology, audiology, psychology, electrical en gineering, mathematics, and computer science, the participants engaged in lively discussion and debate. We think it is fair to say that there was an atmosphere of excitement and optimism for a field that is both fascinating and potentially lucrative. Of the many general results that can be taken from the workshop, two of the key ones are these: • The ways in which humans employ visual image for speech recogni tion are manifold and complex, and depend upon the talker-perceiver pair, severity and age of onset of any hearing loss, whether the topic of conversation is known or unknown, the level of noise, and so forth.
Book Synopsis Multilingual Speech Processing by : Tanja Schultz
Download or read book Multilingual Speech Processing written by Tanja Schultz and published by Elsevier. This book was released on 2006-06-12 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive approach to speech processing, the editors have included theories, algorithms, and techniques that are required to support spoken input and output in a large variety of languages. Multilingual Speech Processing presents a comprehensive introduction to research problems and solutions, both from a theoretical as well as a practical perspective, and highlights technology that incorporates the increasing necessity for multilingual applications in our global community. Current challenges of speech processing and the feasibility of sharing data and system components across different languages guide contributors in their discussions of trends, prognoses and open research issues. This includes automatic speech recognition and speech synthesis, but also speech-to-speech translation, dialog systems, automatic language identification, and handling non-native speech. The book is complemented by an overview of multilingual resources, important research trends, and actual speech processing systems that are being deployed in multilingual human-human and human-machine interfaces. Researchers and developers in industry and academia with different backgrounds but a common interest in multilingual speech processing will find an excellent overview of research problems and solutions detailed from theoretical and practical perspectives. State-of-the-art research with a global perspective by authors from the USA, Asia, Europe, and South Africa The only comprehensive introduction to multilingual speech processing currently available Detailed presentation of technological advances integral to security, financial, cellular and commercial applications
Book Synopsis Speech Recognition - Unabridged Guide by : Louis Abbott
Download or read book Speech Recognition - Unabridged Guide written by Louis Abbott and published by Tebbo. This book was released on 2012-09-01 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete, Unabridged Guide to Speech recognition. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. It's all you need. Here's part of the content - you would like to know it all? Delve into this book today!..... : Speech recognition applications include voice user interfaces such as voice dialing (e. g. , Call home), call routing (e. g. , I would like to make a collect call), domotic appliance control, search (e. g. , find a podcast where particular words were spoken), simple data entry (e. g. , entering a credit card number), preparation of structured documents (e. g. , a radiology report), speech-to-text processing (e. g. , word processors or emails), and aircraft (usually termed Direct Voice Input). ...Each word, or (for more general speech recognition systems), each phoneme, will have a different output distribution; a hidden Markov model for a sequence of words or phonemes is made by concatenating the individual trained hidden Markov models for the separate words and phonemes. ...A typical large-vocabulary system would need context dependency for the phonemes (so phonemes with different left and right context have different realizations as HMM states); it would use cepstral normalization to normalize for different speaker and recording conditions; for further speaker normalization it might use vocal tract length normalization (VTLN) for male-female normalization and maximum likelihood linear regression (MLLR) for more general speaker adaptation. ... Decoding of the speech (the term for what happens when the system is presented with a new utterance and must compute the most likely source sentence) would probably use the Viterbi algorithm to find the best path, and here there is a choice between dynamically creating a combination hidden Markov model, which includes both the acoustic and language model information, and combining it statically beforehand (the finite state transducer, or FST, approach). There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Speech recognition in key topics and material. There is no reason to invest in any other materials to learn about Speech recognition. You'll understand it all. Inside the Guide: Speech recognition, Xuedong Huang, Word error rate, Windows Speech Recognition, VoxForge, Voice user interface, Voice recognition, VoiceXML, Viterbi algorithm, Transcription (linguistics), Technological singularity, Speech verification, Speech technology, Speech synthesis, Speech recognition in Linux, Speech processing, Speech perception, Speech interface guideline, Speech corpus, Speech analytics, Speech-to-text reporter, Speaker recognition, Speaker diarisation, Sensory, Inc., Robotics, Robot Interaction Language, Real time factor, Phonetic search technology, Outline of technology, Outline of artificial intelligence, Nuance Communications, Natural language processing, Multimodal interaction, Multimedia Information Retrieval, Microphone, Mars Polar Lander, Manfred R. Schroeder, Machine learning, LumenVox, Lifeline (video game), Lawrence Rabiner, Language model, Kinect, Keyword spotting, Jott, Interactive voice response, Hidden Markov model, Hands-free computing, HTK (software), Eurofighter Typhoon, Dynamic time warping, Digital dictation, DARPA, Constructed language, Computer engineering, Computational finance, Carnegie Mellon University, Cache language model, Audio mining, Audio-visual speech recognition, Artificial intelligence, Articulatory speech recognition, Applications of artificial intelligence, Andrew Sears, Acoustic model
Book Synopsis Speech Synthesis and Recognition by : J. N. Holmes
Download or read book Speech Synthesis and Recognition written by J. N. Holmes and published by Chapman & Hall. This book was released on 1988 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integration of Multiple Feature Sets for Reducing Ambiguity in Automatic Speech Recognition by : Parya MomayyezSiahkal
Download or read book Integration of Multiple Feature Sets for Reducing Ambiguity in Automatic Speech Recognition written by Parya MomayyezSiahkal and published by . This book was released on 2008 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speech Recognition by : France Mihelič
Download or read book Speech Recognition written by France Mihelič and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Book Synopsis Speech Input and Output Assessment by : Adrian Fourcin
Download or read book Speech Input and Output Assessment written by Adrian Fourcin and published by . This book was released on 1989 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speech Enhancement, Modeling and Recognition- Algorithms and Applications by : S. Ramakrishnan
Download or read book Speech Enhancement, Modeling and Recognition- Algorithms and Applications written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2012-03-14 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on Speech Processing consists of seven chapters written by eminent researchers from Italy, Canada, India, Tunisia, Finland and The Netherlands. The chapters covers important fields in speech processing such as speech enhancement, noise cancellation, multi resolution spectral analysis, voice conversion, speech recognition and emotion recognition from speech. The chapters contain both survey and original research materials in addition to applications. This book will be useful to graduate students, researchers and practicing engineers working in speech processing.
Book Synopsis Spoken Language Processing by : Xuedong Huang
Download or read book Spoken Language Processing written by Xuedong Huang and published by Prentice Hall. This book was released on 2001 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers, inaccessible to most practitioners. In this book, the leaders of the Speech Technology Group at Microsoft Research share these advances -- presenting not just the latest theory, but practical techniques for building commercially viable products.KEY TOPICS: Spoken Language Processing draws upon the latest advances and techniques from multiple fields: acoustics, phonology, phonetics, linguistics, semantics, pragmatics, computer science, electrical engineering, mathematics, syntax, psychology, and beyond. The book begins by presenting essential background on speech production and perception, probability and information theory, and pattern recognition. The authors demonstrate how to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden Markov models, acoustic and language modeling, and techniques for improving resistance to environmental noise. Coverage includes decoders, search algorithms, large vocabulary speech recognition techniques, text-to-speech, spoken language dialog management, user interfaces, and interaction with non-speech interface modalities. The authors also present detailed case studies based on Microsoft's advanced prototypes, including the Whisper speech recognizer, Whistler text-to-speech system, and MiPad handheld computer.MARKET: For anyone involved with planning, designing, building, or purchasing spoken language technology.
Download or read book Robust Speech written by Michael Grimm and published by BoD – Books on Demand. This book was released on 2007-06-01 with total page 471 pages. Available in PDF, EPUB and Kindle. Book 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.
Book Synopsis Voice Technologies for Speech Reconstruction and Enhancement by : Hemant A. Patil
Download or read book Voice Technologies for Speech Reconstruction and Enhancement written by Hemant A. Patil and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-02-10 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders – collectively known as “dysarthria.” The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help the speech system both assess dysarthric speech and to perform intelligibility improvement of the impaired speech; they display well-performing software solutions for developmental and acquired speech impairments, and for vocal injuries; and they examine non-acoustic signals and muted nonverbal sounds in relation to audible speech conversion.
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 660 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Articulatory Features for Robust Visual Speech Recognition by : Ekaterina Saenko
Download or read book Articulatory Features for Robust Visual Speech Recognition written by Ekaterina Saenko and published by . This book was released on 2004 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis explores a novel approach to visual speech modeling. Visual speech, or a sequence of images of the speaker's face, is traditionally viewed as a single stream of contiguous units, each corresponding to a phonetic segment. These units are defined heuristically by mapping several visually similar phonemes to one visual phoneme, sometimes referred to as a viseme. However, experimental evidence shows that phonetic models trained from visual data are not synchronous in time with acoustic phonetic models, indicating that visemes may not be the most natural building blocks of visual speech. Instead, we propose to model the visual signal in terms of the underlying articulatory features. This approach is a natural extension of feature-based modeling of acoustic speech, which has been shown to increase robustness of audio-based speech recognition systems. We start by exploring ways of defining visual articulatory features: first in a data-driven manner, using a large, multi-speaker visual speech corpus, and then in a knowledge-driven manner, using the rules of speech production. Based on these studies, we propose a set of articulatory features, and describe a computational framework for feature-based visual speech recognition. Multiple feature streams are detected in the input image sequence using Support Vector Machines, and then incorporated in a Dynamic Bayesian Network to obtain the final word hypothesis. Preliminary experiments show that our approach increases viseme classification rates in visually noisy conditions, and improves visual word recognition through feature-based context modeling.
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:
