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Small Vocabulary Isolated Word Speaker Independent Automatic Speech Recognition Using Hidden Markov Models
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Book Synopsis Small Vocabulary, Isolated Word, Speaker-independent, Automatic Speech Recognition Using Hidden Markov Models by : Jonathan Hubert Herman Bloedow
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:
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 Automatic Speech Recognition System for Isolated Words by Using Hidden Markov Models by : Edmond Man Fai Tam
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:
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.
Author :Louis Cossette Publisher :National Library of Canada = Bibliothèque nationale du Canada ISBN 13 :9780315783041 Total Pages :192 pages Book Rating :4.7/5 (83 download)
Book Synopsis Speaker-independent Isolated-digit Recognition Based on Hidden Markov Models and Vocabulary Specific Vector Quantization [microform] by : Louis Cossette
Download or read book Speaker-independent Isolated-digit Recognition Based on Hidden Markov Models and Vocabulary Specific Vector Quantization [microform] written by Louis Cossette and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1991 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis STUDY OF SOME VARIATIONS ON TH by : 梁舜德
Download or read book STUDY OF SOME VARIATIONS ON TH written by 梁舜德 and published by Open Dissertation Press. This book was released on 2017-01-27 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "A Study of Some Variations on the Hidden Markov Modelling Approach to Speaker Independent Isolated Word Speech Recognition" by 梁舜德, Shun Tak Albert, Leung, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3120929 Subjects: Automatic speech recognition Markov processes
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 Robust Speech Recognition Using Hidden Markov Models by : Clifford Joseph Weinstein
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).
Book Synopsis Speaker Independent Isolated Word Automatic Speech Recognition Using Computer Generated Phonemes by : Harvard Scott Hinton
Download or read book Speaker Independent Isolated Word Automatic Speech Recognition Using Computer Generated Phonemes written by Harvard Scott Hinton and published by . This book was released on 1982 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Method for the Construction of Acoustic Markov Models for Words by : International Business Machines Corporation. Research Division
Download or read book A Method for the Construction of Acoustic Markov Models for Words written by International Business Machines Corporation. Research Division and published by . This book was released on 1992 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "A new technique for constructing Markov models for the acoustic representation of words is described. Word models are constructed from models of sub-word units called fenones. Fenones represent very short speech events, and are obtained automatically through the use of a vector quantizer. The fenonic baseform for a word, i.e. the sequence of fenones used to represent the word, is derived automatically from one or more utterances of that word. Since the word models are all composed from a small inventory of sub-word models, training for large- vocabulary speech recognition systems can be accomplished with a small training script. A method for combining phonetic and fenonic models is presented. Results of experiments with speaker-dependent and speaker- independent models on several isolated-word recognition tasks are reported. Comparative results with phonetics-based Markov models and template- based DP matching are also given."
Book Synopsis Isolated Word Recognition From In-Ear Microphone Data Using Hidden Markov Models (HMM). by :
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.
Book Synopsis Isolated Word Speech Recognition Using Partially Hidden Markov Models by : J. Aaen
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:
Book Synopsis An Isolated-word Speech Recognition System Using Hidden Markov Models by : William A. Bella
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:
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 A Study of Some Variations on the Hidden Markov Modelling Approach to Speaker Independent Isolated Word Speech Recognition by : Shun Tak Albert Leung
Download or read book A Study of Some Variations on the Hidden Markov Modelling Approach to Speaker Independent Isolated Word Speech Recognition written by Shun Tak Albert Leung and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speaker Independent Speech Recognition Using Hidden Markov Models by : Fong Shien Lee
Download or read book Speaker Independent Speech Recognition Using Hidden Markov Models written by Fong Shien Lee and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Isolated Word Speech Recognition Using Hidden Markov Models by : Soon Chieh Lim
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:
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