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Speech Recognition Based On Hidden Markov Models
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Book Synopsis The Application of Hidden Markov Models in Speech Recognition by : Mark Gales
Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.
Book Synopsis Speech Recognition Based on Hidden Markov Models by : International Business Machines Corporation. Research Division
Download or read book Speech Recognition Based on Hidden Markov Models written by International Business Machines Corporation. Research Division and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hidden Markov Models: Applications In Computer Vision by : Horst Bunke
Download or read book Hidden Markov Models: Applications In Computer Vision written by Horst Bunke and published by World Scientific. This book was released on 2001-06-04 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).
Book Synopsis Connectionist Speech Recognition by : Hervé A. Bourlard
Download or read book Connectionist Speech Recognition written by Hervé A. Bourlard and published by Springer Science & Business Media. This book was released on 1994 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.
Book Synopsis Connectionist Speech Recognition by : Hervé A. Bourlard
Download or read book Connectionist Speech Recognition written by Hervé A. Bourlard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.
Book Synopsis Hidden Markov Models for Speech Recognition by : X. D. Huang
Download or read book Hidden Markov Models for Speech Recognition written by X. D. Huang and published by . This book was released on 1990-01-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Yves Normandin Publisher :National Library of Canada = Bibliothèque nationale du Canada ISBN 13 : Total Pages :180 pages Book Rating :4.:/5 (318 download)
Book Synopsis Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem by : Yves Normandin
Download or read book Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem written by Yves Normandin and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sub-word based Tigrinya speech recognizer. An experiment using hidden Markov model by : Temesgen Gebretsadik
Download or read book Sub-word based Tigrinya speech recognizer. An experiment using hidden Markov model written by Temesgen Gebretsadik and published by GRIN Verlag. This book was released on 2020-01-02 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: Very good, , course: Masters of Science in Computer Science, language: English, abstract: Speech recognition, a process of changing speech to text, has been one of a research area for the last many decades. Even though there are several techniques of modeling a speech recognizer, yet it is still challenging to find one that overcomes all the limitations. So this thesis examines the possibility of developing Tigrinya language speech recognizer by finding out which sub-word unit is most appropriate in developing efficient large vocabulary, speaker independent, and continuous Tigrinya speech recognition system using hidden Markov models (HMM). The recognizer was developed using Hidden Markov Model, and the Hidden Markov Modeling Toolkit was used to implement it. In the course of developing this system, the speech data is recorded at a sampling rate of 16 KHz and the recorded speech is converted into Mel Frequency Cepstral Coefficient (MFCC) vectors for further analysis and processing. In this research work, 1000 selected utterances were uttered by 26 selected peoples from different age group and sex constituting of 4643 unique words. Accordingly, the database is set up into two ways the first database comprised of 1000 utterances that are used for training and out of which 100 sentences were taken for testing and evaluation whereas the second database consists of 900 utterances for training and 100 utterances for test and evaluation which is different from the training set. Furthermore, the data is preprocessed in line with the requirements of the HTK toolkit and both the text and speech corpuses were prepared in consultation with the domain experts.
Book Synopsis Markov Models for Pattern Recognition by : Gernot A. Fink
Download or read book Markov Models for Pattern Recognition written by Gernot A. Fink and published by Springer Science & Business Media. This book was released on 2014-01-14 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
Book Synopsis HMM-Based Speech Recognition in Noisy Car Environments Usingdiscrete Hidden Markov Models by : Francisco Javier Hernando Pericás
Download or read book HMM-Based Speech Recognition in Noisy Car Environments Usingdiscrete Hidden Markov Models written by Francisco Javier Hernando Pericás and published by . This book was released on 1994 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Markov Models for Handwriting Recognition by : Thomas Plötz
Download or read book Markov Models for Handwriting Recognition written by Thomas Plötz and published by Springer Science & Business Media. This book was released on 2012-02-02 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden Markov models and Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text reviews proposed solutions in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.
Book Synopsis Hidden Markov Models by : Przemyslaw Dymarski
Download or read book Hidden Markov Models written by Przemyslaw Dymarski and published by BoD – Books on Demand. This book was released on 2011-04-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research.
Book Synopsis Real-time Speech Recognition Using Hidden Markov Models by : Michael Mason
Download or read book Real-time Speech Recognition Using Hidden Markov Models written by Michael Mason and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cyber Intelligence and Information Retrieval by : João Manuel R. S. Tavares
Download or read book Cyber Intelligence and Information Retrieval written by João Manuel R. S. Tavares and published by Springer Nature. This book was released on 2021-09-28 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques.
Book Synopsis Implementation of Hidden Markov Models for Speech Recognition by : Chee Kean Teh
Download or read book Implementation of Hidden Markov Models for Speech Recognition written by Chee Kean Teh and published by . This book was released on 1991 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Investigation of Hidden Markov Models for Speech Recognition by : Tham Dinh Le
Download or read book Investigation of Hidden Markov Models for Speech Recognition written by Tham Dinh Le and published by . This book was released on 1991 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Factorial Hidden Markov Models for Speech Recognition by : Beth Logan
Download or read book Factorial Hidden Markov Models for Speech Recognition written by Beth Logan and published by . This book was released on 1997 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
