Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download An Isolated Word Speech Recognition System Using Hidden Markov Models full books in PDF, epub, and Kindle. Read online An Isolated Word Speech Recognition System Using Hidden Markov Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : William A. Bella
Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (29 download)
Download or read book An Isolated-word Speech Recognition System Using Hidden Markov Models written by William A. Bella and published by . This book was released on 1989 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Edmond Man Fai Tam
Publisher :
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.:/5 (23 download)
Download or read book Automatic Speech Recognition System for Isolated Words by Using Hidden Markov Models written by Edmond Man Fai Tam and published by . This book was released on 1989 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. Aaen
Publisher :
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4.:/5 (473 download)
Download or read book Isolated Word Speech Recognition Using Partially Hidden Markov Models written by J. Aaen and published by . This book was released on 1995 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark Gales
Publisher : Now Publishers Inc
ISBN 13 : 1601981201
Total Pages : 125 pages
Book Rating : 4.6/5 (19 download)
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.
Author : Fahad Nasser Alghannam
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (117 download)
Download or read book Hidden Markov Models for Isolated Word Recognition written by Fahad Nasser Alghannam and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis documents the work done to put hidden Markov models (HMMs), in a form which can be used as a pattern comparison and c1assification tool in isolated word recognition systems. The thesis starts with a general introduction for speech recognition including historical review, fields of current research and the history of implementing hidden Markov models in speech recognition. The mathematical investigation of hidden Markov models has been given, including the solutions to the recognition, training and optimal state sequence problems. Attention has been drawn to the left-to-right HMM as the most suitable model for the purpose of isolated word recognition. The considerations required for using this model in isolated word recognition have been discussed Most of the presented algorithms have been implemented in the "C" language.
Author : Soon Chieh Lim
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (96 download)
Download or read book Isolated Word Speech Recognition Using Hidden Markov Models written by Soon Chieh Lim and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Report IT. written by and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Temesgen Gebretsadik
Publisher : GRIN Verlag
ISBN 13 : 3346090310
Total Pages : 127 pages
Book Rating : 4.3/5 (46 download)
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.
Author : Clifford Joseph Weinstein
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (212 download)
Download or read book Robust Speech Recognition Using Hidden Markov Models written by Clifford Joseph Weinstein and published by . This book was released on 1990 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents an overview of a program of speech recognition research which was initiated in 1985 with the major goal of developing techniques for robust high performance speech recognition under the stress and noise conditions typical of a military aircraft cockpit. The work on recognition in stress and noise during 1985 and 1986 produced a robust Hidden Markov Model (HMM) isolated-word recognition (IWR) system with 99 percent speaker-dependent accuracy for several difficult stress/noise data bases, and very high performance for normal speech. Robustness techniques which were developed and applied include multi-style training, robust estimation of parameter variances, perceptually-motivated stress-tolerant distance measures, use of time-differential speech parameters, and discriminant analysis. These techniques and others produced more than an order-of-magnitude reduction in isolated-work recognition error rate relative to a baseline HMM system. An important feature of the Lincoln HMM system has been the use of continuous-observation HMM techniques, which provide a good basis for the development of the robustness techniques, and avoid the need for a vector quantizer at the input to the HMM system. Beginning in 1987, the robust HMM system has been extended to continuous speech recognition for both speaker-dependent and speaker-independent tasks. The robust HMM continuous speech recognizer was integrated in real-time with a stressing simulated flight task, which was judged to be very realistic by a number of military pilots. (kr).
Author : Jonathan Hubert Herman Bloedow
Publisher :
ISBN 13 :
Total Pages : 45 pages
Book Rating : 4.:/5 (638 download)
Download or read book Small Vocabulary, Isolated Word, Speaker-independent, Automatic Speech Recognition Using Hidden Markov Models written by Jonathan Hubert Herman Bloedow and published by . This book was released on 1994 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Febe de Wet
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (75 download)
Download or read book Isolated Word Speech Recognition in Xhosa Using Hidden Markov Word and Phone Models written by Febe de Wet and published by . This book was released on 19?? with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Edward Andrew Martin
Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (227 download)
Download or read book A Two-Stage Isolated-Word Recognition System Using Discriminant Analysis written by Edward Andrew Martin and published by . This book was released on 1986 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes a two-stage isolated-word recognition system using a Hidden Markov Model (HMM) recognizer in the first stage, and a statistical discriminator in the second stage. The second-stage system performs pairwise discriminations between the top few candidate word models when no clear decision is made from the first stage. Likelihood-ratio comparisons and a new technique called sifting are used to focus attention on those features that best differentiate word pairs. This system alleviates four fundamental problems which are found with most conventional speech recognition systems. These problems include: 1) the effects of limited training data are not explicitly taken into account, 2) the correlation between adjacent observation frames is incorrectly modeled, 3) durations of acoustic events are poorly modeled, and 4) features which might be important in discriminating only among specific work pairs or sets of words are not easily incorporated into the system without degrading overall performance. The system was tested on a 35 word/10,000 token stressed-speech isolated-word data base created at Lincoln Laboratory. The adding of the second-stage discriminating system reduced the error rate by more than a factor of 2. The overall error rate fell from 7.7 percent with only the HMM system to 3.5 percent with both the HMM system and the discriminator.
Author : S. Easwaran
Publisher :
ISBN 13 :
Total Pages : 278 pages
Book Rating : 4.:/5 (274 download)
Download or read book Investigations on Discrete-symbol Hidden-Markov Model Based Isolated-word Speech Recognition written by S. Easwaran and published by . This book was released on 1992 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (665 download)
Download or read book Isolated Word Recognition From In-Ear Microphone Data Using Hidden Markov Models (HMM). written by and published by . This book was released on 2006 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is part of an ongoing larger scale research study started in 2004 at the Naval Postgraduate School (NPS) which aims to develop a speech-driven human-machine interface for the operation of semi-autonomous military robots in noisy operational environments. Earlier work included collecting a small database of isolated word utterances of seven words from 20 adult subjects using an in-ear microphone. The research conducted here develops a speaker-independent isolated word recognizer from these acoustic signals based on a discrete-observation Hidden Markov Model (HMM). The study implements the HMM-based isolated word recognizer in three steps. The first step performs the endpoint detection and speech segmentation by using short-term temporal analysis. The second step includes speech feature extraction using static and dynamic MFCC parameters and vector quantization of continuous-valued speech features. Finally, the last step involves the discrete-observation HMM-based classifier for isolated word recognition. Experimental results show the average classification performance around 92.77%. The most significant result of this study is that the acoustic signals originating from speech organs and collected within the external ear canal via the in-ear microphone can be used for isolated word recognition. The second dataset collected under low signal-to-noise ratio conditions with additive noise results in 79% recognition accuracy in the HMM-based classifier. We also compared the classification results of the data collected within the ear canal and outside the mouth via the same microphone. The second dataset collected under low signal-to-noise ratio conditions with additive noise results in 79% recognition accuracy in the HMM-based classifier. We also compared the classification results of the data collected within the ear canal and outside the mouth via the same microphone. Average classification rates obtained for the data collected outside the mouth shows significant performance degradation (down to 63%), over that observed with the data collected from within the ear canal (down to 86%). The ear canal dampens high frequencies. As a result, the HMM model derived for the data with dampened higher frequencies does not accurately fit the data collected outside the mouth, resulting in degraded recognition performances.
Author : Hasan M. Abu-Zaina
Publisher :
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.:/5 (369 download)
Download or read book Evaluation of Some Noise Reduction Methods as Applied to an Isolated Word Discrete Hidden Markov Model Speech Recognition System written by Hasan M. Abu-Zaina and published by . This book was released on 1996 with total page 256 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)
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:
Author : Anneliese E. Cook
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (227 download)
Download or read book Experimental Evaluation of Algorithms for Connected Speech Recognition Using Hidden Markov Models written by Anneliese E. Cook and published by . This book was released on 1987 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current Automatic Speech Recognition devices attempt to solve the connected word recognition problem by assuming that an unknown phrase is the output of a sequence of statistical word-models. Typically, these models are constructed using examples of words spoken in isolation; however, the acoustic patterns corresponding to words as they occur in fluent speech are quite different from those representing the same words spoken in isolation, and so the use in speech recognizers of models based on isolated utterances severely limits the performance of such devices. A method of extracting training utterances from fluent speech and constructing Hidden Markov Models (HMMs) from these templates, known as Embedded Training, is investigated here, in conjunction with a two-level algorithm for connected word recognition. The effects on recognition performance of various HMM training procedures are discussed, and experimental results are presented.
