Automatic Speech Recognition And Translation For Low Resource Languages

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Automatic Speech Recognition and Translation for Low Resource Languages

Author : L. Ashok Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1394214170
Total Pages : 428 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Automatic Speech Recognition and Translation for Low Resource Languages by : L. Ashok Kumar

Download or read book Automatic Speech Recognition and Translation for Low Resource Languages written by L. Ashok Kumar and published by John Wiley & Sons. This book was released on 2024-03-28 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information

Author : Ngoc Thang Vu
Publisher :
ISBN 13 : 9783844028928
Total Pages : 203 pages
Book Rating : 4.0/5 (289 download)

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Book Synopsis Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information by : Ngoc Thang Vu

Download or read book Automatic Speech Recognition for Low-resource Languages and Accents Using Multilingual and Crosslingual Information written by Ngoc Thang Vu and published by . This book was released on 2014 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Automatic Speech Recognition and Translation for Low Resource Languages

Author : L. Ashok Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1394213581
Total Pages : 500 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Automatic Speech Recognition and Translation for Low Resource Languages by : L. Ashok Kumar

Download or read book Automatic Speech Recognition and Translation for Low Resource Languages written by L. Ashok Kumar and published by John Wiley & Sons. This book was released on 2024-05-07 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Automatic Speech Translation

Author : Akira Kurematsu
Publisher : CRC Press
ISBN 13 : 1000657868
Total Pages : 132 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Automatic Speech Translation by : Akira Kurematsu

Download or read book Automatic Speech Translation written by Akira Kurematsu and published by CRC Press. This book was released on 2023-03-31 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. Topics covered include: fundamental concepts of speech recognition; speech pattern representation; phoneme-based HMM phoneme recognition; continuous speech recognition; speaker adaptation; speaker-independent speech recognition; utterance analysis, utterance transfer, utterance generation; contextual processing; speech synthesis and an experimental system of speech translation. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.

Multilingual Speech Processing

Author : Tanja Schultz
Publisher : Elsevier
ISBN 13 : 0080457622
Total Pages : 540 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Multilingual Speech Processing by : Tanja Schultz

Download or read book Multilingual Speech Processing written by Tanja Schultz and published by Elsevier. This book was released on 2006-06-12 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive approach to speech processing, the editors have included theories, algorithms, and techniques that are required to support spoken input and output in a large variety of languages. Multilingual Speech Processing presents a comprehensive introduction to research problems and solutions, both from a theoretical as well as a practical perspective, and highlights technology that incorporates the increasing necessity for multilingual applications in our global community. Current challenges of speech processing and the feasibility of sharing data and system components across different languages guide contributors in their discussions of trends, prognoses and open research issues. This includes automatic speech recognition and speech synthesis, but also speech-to-speech translation, dialog systems, automatic language identification, and handling non-native speech. The book is complemented by an overview of multilingual resources, important research trends, and actual speech processing systems that are being deployed in multilingual human-human and human-machine interfaces. Researchers and developers in industry and academia with different backgrounds but a common interest in multilingual speech processing will find an excellent overview of research problems and solutions detailed from theoretical and practical perspectives. State-of-the-art research with a global perspective by authors from the USA, Asia, Europe, and South Africa The only comprehensive introduction to multilingual speech processing currently available Detailed presentation of technological advances integral to security, financial, cellular and commercial applications

Speech-to-Speech Translation

Author : Yutaka Kidawara
Publisher : Springer Nature
ISBN 13 : 9811505950
Total Pages : 103 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Speech-to-Speech Translation by : Yutaka Kidawara

Download or read book Speech-to-Speech Translation written by Yutaka Kidawara and published by Springer Nature. This book was released on 2019-11-22 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.

Automatic Speech Translation

Author : Akira Kurematsu
Publisher : CRC Press
ISBN 13 : 9782919875023
Total Pages : 136 pages
Book Rating : 4.8/5 (75 download)

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Book Synopsis Automatic Speech Translation by : Akira Kurematsu

Download or read book Automatic Speech Translation written by Akira Kurematsu and published by CRC Press. This book was released on 1996-05-28 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.

Automatic Speech Translation

Author :
Publisher :
ISBN 13 : 9780429333385
Total Pages : 0 pages
Book Rating : 4.3/5 (333 download)

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Book Synopsis Automatic Speech Translation by :

Download or read book Automatic Speech Translation written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. Topics covered include: fundamental concepts of speech recognition; speech pattern representation; phoneme-based HMM phoneme recognition; continuous speech recognition; speaker adaptation; speaker-independent speech recognition; utterance analysis, utterance transfer, utterance generation; contextual processing; speech synthesis and an experimental system of speech translation. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.

Statistical Language and Speech Processing

Author : Thierry Dutoit
Publisher : Springer
ISBN 13 : 303000810X
Total Pages : 191 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Statistical Language and Speech Processing by : Thierry Dutoit

Download or read book Statistical Language and Speech Processing written by Thierry Dutoit and published by Springer. This book was released on 2018-10-08 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018. The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.

The Spoken Language Translator

Author : Manny Rayner
Publisher : Cambridge University Press
ISBN 13 : 9780521770774
Total Pages : 360 pages
Book Rating : 4.7/5 (77 download)

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Book Synopsis The Spoken Language Translator by : Manny Rayner

Download or read book The Spoken Language Translator written by Manny Rayner and published by Cambridge University Press. This book was released on 2000-08-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the Spoken Language Translator (SLT), one of the first major projects in the area of automatic speech translation.

Speech-to-Speech Translation

Author : Hiroaki Kitano
Publisher : Springer Science & Business Media
ISBN 13 : 1461527325
Total Pages : 205 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Speech-to-Speech Translation by : Hiroaki Kitano

Download or read book Speech-to-Speech Translation written by Hiroaki Kitano and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation systems. This system accepts speaker-independent continuous speech, and produces translations as audio output. Subsequent versions of this machine translation system have been implemented on several massively parallel computers, and these systems have attained translation performance in the milliseconds range. The success of this project triggered several massively parallel projects, as well as other massively parallel artificial intelligence projects throughout the world. Dr. Hiroaki Kitano received the distinguished `Computers and Thought Award' from the International Joint Conferences on Artificial Intelligence in 1993 for his work in this area, and that work is reported in this book.

Evaluation of Text and Speech Systems

Author : Laila Dybkjær
Publisher : Springer Science & Business Media
ISBN 13 : 9781402058158
Total Pages : 318 pages
Book Rating : 4.0/5 (581 download)

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Book Synopsis Evaluation of Text and Speech Systems by : Laila Dybkjær

Download or read book Evaluation of Text and Speech Systems written by Laila Dybkjær and published by Springer Science & Business Media. This book was released on 2007-05-07 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In its nine chapters, this book provides an overview of the state-of-the-art and best practice in several sub-fields of evaluation of text and speech systems and components. The evaluation aspects covered include speech and speaker recognition, speech synthesis, animated talking agents, part-of-speech tagging, parsing, and natural language software like machine translation, information retrieval, question answering, spoken dialogue systems, data resources, and annotation schemes. With its broad coverage and original contributions this book is unique in the field of evaluation of speech and language technology. This book is of particular relevance to advanced undergraduate students, PhD students, academic and industrial researchers, and practitioners.

Statistical Language and Speech Processing

Author : Nathalie Camelin
Publisher : Springer
ISBN 13 : 3319684566
Total Pages : 282 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Statistical Language and Speech Processing by : Nathalie Camelin

Download or read book Statistical Language and Speech Processing written by Nathalie Camelin and published by Springer. This book was released on 2017-10-09 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions. The papers cover topics such as anaphora and conference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semanticweb; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling. They are organized in the following sections: language and information extraction; post-processing and applications of automatic transcriptions; speech paralinguistics and synthesis; speech recognition: modeling and resources.

Deep Learning for NLP and Speech Recognition

Author : Uday Kamath
Publisher : Springer
ISBN 13 : 3030145964
Total Pages : 621 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning for NLP and Speech Recognition by : Uday Kamath

Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Incremental Speech Translation

Author : Jan W. Amtrup
Publisher : Springer
ISBN 13 : 3540467610
Total Pages : 213 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Incremental Speech Translation by : Jan W. Amtrup

Download or read book Incremental Speech Translation written by Jan W. Amtrup and published by Springer. This book was released on 2003-06-26 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human language capabilities are based on mental proceduresthat are closely linked to the time domain. Listening, understanding,and reacting, on the one hand, as well as planning,formulating,and speaking,onthe other, are performedin a highlyover lapping manner, thus allowing inter human communication to proceed in a smooth and ?uent way. Although it happens to be the natural mode of human language interaction, in cremental processing is still far from becoming a common feature of today’s lan guage technology. Instead, it will certainly remain one of the big challenges for research activities in the years to come. Usually considered dif?cult to a degree that rendersit almost intractableforpracticalpurposes,incrementallanguageprocessing has recently been attracting a steadily growing interest in the spoken language pro cessing community. Its notorious dif?culty can be attributed mainly to two reasons: Due to the inaccessibility of the right context, global optimization criteria are no longer available. This loss must be compensated for by communicating larger search spaces between system components or by introducing appropriate repair mechanisms. In any case, the complexity of the task can easily grow by an order of magnitude or even more. Incrementality is an almost useless feature as long as it remains a local property of individual system components. The advantages of incremental processing can be effectiveonly if all the componentsof a producer consumerchain consistently adhere to the same pattern of temporal behavior.

Natural Language Processing In Healthcare

Author : Satya Ranjan Dash
Publisher : CRC Press
ISBN 13 : 1000624692
Total Pages : 227 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Natural Language Processing In Healthcare by : Satya Ranjan Dash

Download or read book Natural Language Processing In Healthcare written by Satya Ranjan Dash and published by CRC Press. This book was released on 2022-09-13 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.

Machine Translation and Transliteration involving Related, Low-resource Languages

Author : Anoop Kunchukuttan
Publisher : CRC Press
ISBN 13 : 1000422410
Total Pages : 215 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Translation and Transliteration involving Related, Low-resource Languages by : Anoop Kunchukuttan

Download or read book Machine Translation and Transliteration involving Related, Low-resource Languages written by Anoop Kunchukuttan and published by CRC Press. This book was released on 2021-09-08 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.