Download or read book Isolated Word Recognition Using MFCC LPC VQ and Hidden Markov Model written by Mahesh Patil and published by . This book was released on 2016-09-20 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Isolated Word Recognition Using Hidden Markov Model and Neural Network written by Muhammad Hassan Saif Siddiqi and published by . This book was released on 1992 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Study of the Hidden Markov Model for Isolated Word Recognition written by Visvanathan Neelakantan and published by . This book was released on 1993 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Vision and Information Technology written by K. V. Kale and published by I. K. International Pvt Ltd. This book was released on 2010 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction

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.

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.

Download or read book Application of Vector Quantization and Hidden Markov Models for Isolated Word Recognition written by Fransiska Intancahyani Harsano and published by . This book was released on 1998 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence and Speech Technology written by Amita Dev and published by Springer Nature. This book was released on 2022-01-28 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.

Download or read book Study of the Hidden Markov Model in Speech Recognition written by Joseph Y. Fang and published by . This book was released on 1988 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Application of Hidden Markov Models to Isolated Word Recognition written by Bruce L. Johnson and published by . This book was released on 1990 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Vector Quantization and Hidden Markov Models for Speaker Independent Quasi isolated Word Recognition written by Francesco Capodiferro and published by . This book was released on 1994 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

Download or read book Deep Learning Approaches for Spoken and Natural Language Processing written by Virender Kadyan and published by Springer Nature. This book was released on 2022-01-01 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work. Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications; Presents and escalates the research trends and future direction of language and speech processing; Includes theoretical research, experimental results, and applications of deep learning.

Download or read book Insight Into Wavelets from Theory to Practice written by K. P. Soman and published by PHI Learning Pvt. Ltd.. This book was released on 2010 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fundamentals of Speech Recognition written by Lawrence R. Rabiner and published by . This book was released on 1993 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Off line Cursive Handwritten Word Recognition Using Hidden Markov Models and Multiple Classifier Combination written by Wenwei Wang and published by . This book was released on 2003 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Word Recognition Using Hidden Markov Models and Neural Associative Memories written by Zöhre Kara Kayikci and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: