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Large Vocabulary Continuous Speech Recognition Using Linguistic Features And Constraints
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Book Synopsis Large Vocabulary Continuous Speech Recognition Using Linguistic Features and Constraints by : Min Tang (Ph. D.)
Download or read book Large Vocabulary Continuous Speech Recognition Using Linguistic Features and Constraints written by Min Tang (Ph. D.) and published by . This book was released on 2005 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: (Cont.) Also, the broad linguistic constraints in the first pass generalize better to unseen data compared to finer, context-dependent acoustic phonetic models. This thesis also studies a data-driven analysis of acoustic similarities among open vocabulary items. The results are used for recovering possible errors in the first pass. This approach demonstrates an advantage over a two-pass approach based on specific semantic constraints. In summary, this thesis implements the original Huttenlocher-Zue two-pass lexical access model in a modern probabilistic speech recognition framework. This thesis also extends the original model to recognize continuous speech from an open vocabulary, with our two-stage model achieving a better performance than the baseline system. In the future, sub-lexical linguistic hierarchy constraints, such as syllables, can be introduced into this two-pass model to further improve the lexical access performance.
Book Synopsis Linguistic Constraints for Large Vocabulary Speech Recognition by : Roger H. Y. Leung
Download or read book Linguistic Constraints for Large Vocabulary Speech Recognition written by Roger H. Y. Leung and published by . This book was released on 1999 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Corpus-Based Methods in Language and Speech Processing by : Steve Young
Download or read book Corpus-Based Methods in Language and Speech Processing written by Steve Young and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems. Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.
Book Synopsis Speech Recognition and Understanding by : Pietro Laface
Download or read book Speech Recognition and Understanding written by Pietro Laface and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i'p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist approaches to speech and language modeling, and linguistic processing including language and dialogue modeling. The purpose of any ASI is that of encouraging scientific communications between researchers of NATO countries through advanced tutorials and presentations: excellent tutorials were offered by invited speakers that present in this book 15 papers which sum marize or detail the topics covered in their lectures. The lectures were complemented by discussions, panel sections and by the presentation of related works carried on by some of the attending researchers: these presentations have been collected in 42 short contributions to the Proceedings. This volume, that the reader can find useful for an overview, although incomplete, of the state of the art in speech understanding, is divided into 6 Parts.
Book Synopsis Feature-based Articulatory-modeling Approach to Large Vocabulary Continuous Speech Recognition by : Xing Jing
Download or read book Feature-based Articulatory-modeling Approach to Large Vocabulary Continuous Speech Recognition written by Xing Jing and published by . This book was released on 2001 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Large-vocabulary Continuous-speech Recognition Using Partitioned Graph Search by : Chuang-Chien Chiu
Download or read book Large-vocabulary Continuous-speech Recognition Using Partitioned Graph Search written by Chuang-Chien Chiu and published by . This book was released on 1993 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications and Innovations in Intelligent Systems XIV by : Richard Ellis
Download or read book Applications and Innovations in Intelligent Systems XIV written by Richard Ellis and published by Springer Science & Business Media. This book was released on 2010-04-05 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume are the refereed application papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006. The papers present new and innovative developments in the field. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.
Book Synopsis Real-time Speaker-independent Large Vocabulary Continuous Speech Recoginition by :
Download or read book Real-time Speaker-independent Large Vocabulary Continuous Speech Recoginition written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this dissertation, a real-time decoding engine for speaker-independent large vocabulary continuous speech recognition (LVCSR) is presented. Three indispensable and correlated performance measurements -- accuracy, speed, and memory cost, are carefully considered in the system design. A novel algorithm, Order-Preserving Language Model Context Pre-computing (OPCP) is proposed for fast Language Model (LM) lookup, resulting in significant improvement in both overall decoding time and memory space without any decrease of recognition accuracy. The time and memory savings in LM lookup by using OPCP became more pronounced with the increase of LM size. By using the OPCP method and other optimizations, our one-pass LVCSR decoding engine, named TigerEngine, reached real-time speed in both tasks of Wall Street Journal 20K and Switchboard 33K, on the platform of a Dell workstation with one 3.2 GHz Xeon CPU. TigerEngine is to be used in automatic captioning for Telehealth.
Book Synopsis A Large Vocabulary Continuous Speech Recognition System with High Predictability by : Minoru Shigenaga
Download or read book A Large Vocabulary Continuous Speech Recognition System with High Predictability written by Minoru Shigenaga and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automatic Speech Recognition by : Kai-Fu Lee
Download or read book Automatic Speech Recognition written by Kai-Fu Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. As one goes from problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poor to knowledge rich; low data rates to high data rates; slow response time (minutes to hours) to instantaneous response time. These characteristics taken together increase the computational complexity of the problem by several orders of magnitude. Further, speech provides a challenging task domain which embodies many of the requirements of intelligent behavior: operate in real time; exploit vast amounts of knowledge, tolerate errorful, unexpected unknown input; use symbols and abstractions; communicate in natural language and learn from the environment. Voice input to computers offers a number of advantages. It provides a natural, fast, hands free, eyes free, location free input medium. However, there are many as yet unsolved problems that prevent routine use of speech as an input device by non-experts. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech. Satisfactory solutions to each of these problems can be expected within the next decade. Recognition of unrestricted spontaneous continuous speech appears unsolvable at present. However, by the addition of simple constraints, such as clarification dialog to resolve ambiguity, we believe it will be possible to develop systems capable of accepting very large vocabulary continuous speechdictation.
Book Synopsis Large vocabulary continuous speech recognition by : K. C. Sim
Download or read book Large vocabulary continuous speech recognition written by K. C. Sim and published by . This book was released on 2004 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automatic Speech Translation by : Akira Kurematsu
Download or read book Automatic Speech Translation written by Akira Kurematsu and published by CRC Press. This book was released on 2023-03-31 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. Topics covered include: fundamental concepts of speech recognition; speech pattern representation; phoneme-based HMM phoneme recognition; continuous speech recognition; speaker adaptation; speaker-independent speech recognition; utterance analysis, utterance transfer, utterance generation; contextual processing; speech synthesis and an experimental system of speech translation. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.
Book Synopsis Vocal Tract Length Normalization for Large Vocabulary Continuous Speech Recognition by : Carnegie Mellon University. Computer Science Department
Download or read book Vocal Tract Length Normalization for Large Vocabulary Continuous Speech Recognition written by Carnegie Mellon University. Computer Science Department and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Generally speaking, the speaker-dependence of a speech recognition system comes from speaker-dependent speech feature. The variation of vocal tract length and/or shape is one of the major source [sic] of inter-speaker variations. In this paper, we address several methods of vocal tract length normalization (VTLN) for large vocabulary continuous speech recognition: (1) explore the bilinear warping VTLN in frequency domain; (2) propose a speaker-specific Bark/Mel scale VTLN in Bark/Mel domain; (3) investigate adaptation of the normalization factor. Our experimental results show that the speaker-specific Bark/Mel scale VTLN is better than the piecewise/bilinear warping VTLN in frequency domain. It can reduce up to 12% word error rate for our Spanish and English spontaneous speech scheduling task database. For adaptation of the normalization factor, our experimental results show that promising result [sic] can be obtained by using not more than three utterances from a new speaker to estimate his/her normalization factor, and the unsupervised adaptation mode works as well as the supervised one. Therefore, the computational complexity of VTLN can be avoided by learning the normalization factor from very few utterances of a new speaker."
Book Synopsis Modularity and Neural Integration in Large-Vocabulary Continuous Speech Recognition by : Kevin Kilgour
Download or read book Modularity and Neural Integration in Large-Vocabulary Continuous Speech Recognition written by Kevin Kilgour and published by . This book was released on 2015 with total page 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 Science & Business Media. This book was released on 2008-04-17 with total page 408 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.
Book Synopsis Automatic Speech and Speaker Recognition by : Joseph Keshet
Download or read book Automatic Speech and Speaker Recognition written by Joseph Keshet and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Progress in Decoding for Large Vocabulary Continuous Speech Recognition by : David Nolden
Download or read book Progress in Decoding for Large Vocabulary Continuous Speech Recognition written by David Nolden and published by . This book was released on 2017* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
