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Book Adaptive Vocabularies in Large Vocabulary Conversational Speech Recognition

Download or read book Adaptive Vocabularies in Large Vocabulary Conversational Speech Recognition written by Petra Geutner and published by . This book was released on 2000 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Adaptive Training for Large Vocabulary Continuous Speech Recognition

Download or read book Adaptive Training for Large Vocabulary Continuous Speech Recognition written by Kai Yu and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Speaker Adaptation in a Large vocabulary Speech Recognition System

Download or read book Speaker Adaptation in a Large vocabulary Speech Recognition System written by Dimitry Rtischev and published by . This book was released on 1989 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Speaker Normalisation and Adaptation in Large Vocabulary Speech Recognition

Download or read book Speaker Normalisation and Adaptation in Large Vocabulary Speech Recognition written by Luís Felipe Uebel and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Speech Processing

Download or read book Speech Processing written by Li Deng and published by CRC Press. This book was released on 2003-06-18 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on years of instruction and field expertise, this volume offers the necessary tools to understand all scientific, computational, and technological aspects of speech processing. The book emphasizes mathematical abstraction, the dynamics of the speech process, and the engineering optimization practices that promote effective problem solving in this area of research and covers many years of the authors' personal research on speech processing. Speech Processing helps build valuable analytical skills to help meet future challenges in scientific and technological advances in the field and considers the complex transition from human speech processing to computer speech processing.

Book Comparative Experiments on Large Vocabulary Speech Recognition

Download or read book Comparative Experiments on Large Vocabulary Speech Recognition written by and published by . This book was released on 1993 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper describes several key experiments in large vocabulary speech recognition. We demonstrate that, counter to our intuitions, given a fixed amount of training speech, the number of training speakers has little effect on the accuracy. We show how much speech is needed for speaker-independent (SI) recognition in order to achieve the same performance as speaker-dependent (SD) recognition. We demonstrate that, though the N-Best Paradigm works quite well up to vocabularies of 5,000 words, it begins to break down with 20,000 words and long sentences. We compare the performance of two feature preprocessing algorithms for microphone independence and we describe a new microphone adaptation algorithm based on selection among several codebook transformations.

Book Advances in Large Vocabulary Speech Recognition

Download or read book Advances in Large Vocabulary Speech Recognition written by Jean-Luc Gauvain and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Real Time Large Vocabulary Speech Recognition System

Download or read book A Real Time Large Vocabulary Speech Recognition System written by Anton Manfred Stölzle and published by . This book was released on 1991 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Cross language Acoustic Adaptation for Automatic Speech Recognition

Download or read book Cross language Acoustic Adaptation for Automatic Speech Recognition written by Christoph Nieuwoudt and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech recognition systems have been developed for the major languages of the world, yet for the majority of languages there are currently no large vocabulary continuous speech recognition (LVCSR) systems. The development of an LVCSR system for a new language is very costly, mainly because a large speech database has to be compiled to robustly capture the acoustic characteristics of the new language. This thesis investigates techniques that enable the re-use of acoustic information from a source language, in which a large amount of data is available, in implementing a system for a new target language. The assumption is that too little data is available in the target language to train a robust speech recognition system on that data alone, and that use of acoustic information from a source language can improve the performance of a target language recognition system. Strategies for cross-language use of acoustic information are proposed, including training on pooled source and target language data, adaptation of source language models using target language data, adapting multilingual models using target language data and transforming source language data to augment target language data for model training. These strategies are allied with Bayesian and transformation-based techniques, usually used for speaker adaptation, as well as with discriminative learning techniques, to present a framework for cross-language re-use of acoustic information. Extensions to current adaptation techniques are proposed to improve the performance of these techniques specifically for cross-language adaptation. A new technique for transformation-based adaptation of variance parameters and a cost-based extension of the minimum classification error (MCE) approach are proposed. Experiments are performed for a large number of approaches from the proposed framework for cross-language re-use of acoustic information. Relatively large amounts of English speech data are used in conjunction with smaller amounts of Afrikaans speech data to improve the performance of an Afrikaans speech recogniser. Results indicate that a significant reduction in word error rate (between 26% and 50%, depending on the amount of Afrikaans data available) is possible when English acoustic data is used in addition to Afrikaans speech data from the same database (i.e both sets of data were recorded under the same c1̀2onditions and the same labelling process was used). For same-database experiments, best results are achieved for approaches that train models on pooled source and target language data and then perform further adaptation of the models using Bayesian or discriminative techniques on target language data only. Experiments are also performed to evaluate the use of English data from a different database than the Afrikaans data. Peak reductions in word error rate of between 16% and 35% are delivered, depending on the amount of Afrikaans data available. Best results are achieved for an approach that performs a simple transformation of source model parameters using target language data, and then performs Bayesian adaptation of the transformed model on target language data.

Book Lattice based Search Strategies for Large Vocabulary Speech Recognition

Download or read book Lattice based Search Strategies for Large Vocabulary Speech Recognition written by Frederick Richardson and published by . This book was released on 1995 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Exploiting Correlations Among Models with Application to Large Vocabulary Speech Recognition

Download or read book Exploiting Correlations Among Models with Application to Large Vocabulary Speech Recognition written by Carnegie-Mellon University. Computer Science Dept and published by . This book was released on 1991 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most useful applications of these distributions is as a basis for a new Bayesian classifier. The latter can be used to significantly reduce search effort in large vocabularies, and to quickly obtain a short list of candidate words. An example HMM-based system shows promising results."

Book Large vocabulary continuous speech recognition

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: