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Statistical Pronunciation Modeling For Non Native Speech Processing


Statistical Pronunciation Modeling For Non Native Speech Processing
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Statistical Pronunciation Modeling For Non Native Speech Processing


Statistical Pronunciation Modeling For Non Native Speech Processing
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Author : Rainer E. Gruhn
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-08

Statistical Pronunciation Modeling For Non Native Speech Processing written by Rainer E. Gruhn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-08 with Technology & Engineering categories.


In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.



Statistical Pronunciation Modeling For Non Native Speech Processing


Statistical Pronunciation Modeling For Non Native Speech Processing
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Author : Rainer Gruhn
language : en
Publisher:
Release Date : 2008

Statistical Pronunciation Modeling For Non Native Speech Processing written by Rainer Gruhn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.




Statistical Language And Speech Processing


Statistical Language And Speech Processing
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Author : Adrian-Horia Dediu
language : en
Publisher: Springer
Release Date : 2015-11-16

Statistical Language And Speech Processing written by Adrian-Horia Dediu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-16 with Computers categories.


This book constitutes the refereed proceedings of the Third International Conference on Statistical Language and Speech Processing, SLSP 2015, held in Budapest, Hungary, in November 2015. The 26 full papers presented together with two invited talks were carefully reviewed and selected from 71 submissions. The papers cover topics such as: anaphora and coreference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semantic Web; 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-answering systems; semantic role labelling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; spelling correction; spoken dialogue systems; term extraction; text categorisation; text summarisation; and user modeling.



Multilingual Speech Processing


Multilingual Speech Processing
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Author : Tanja Schultz
language : en
Publisher: Elsevier
Release Date : 2006-06-12

Multilingual Speech Processing written by Tanja Schultz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-12 with Computers categories.


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



Deep Learning Research Applications For Natural Language Processing


Deep Learning Research Applications For Natural Language Processing
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Author : Ashok Kumar, L.
language : en
Publisher: IGI Global
Release Date : 2022-12-09

Deep Learning Research Applications For Natural Language Processing written by Ashok Kumar, L. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.


Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.



Assessment In Second Language Pronunciation


Assessment In Second Language Pronunciation
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Author : Okim Kang
language : en
Publisher: Taylor & Francis
Release Date : 2017-07-14

Assessment In Second Language Pronunciation written by Okim Kang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-14 with Education categories.


Assessment in Second Language Pronunciation highlights the importance of pronunciation in the assessment of second language speaking proficiency. Leading researchers from around the world cover practical issues as well as theoretical principles, enabling the understanding and application of the theory involved in assessment in pronunciation. Key features of this book include: Examination of key criteria in pronunciation assessment, including intelligibility, comprehensibility and accentedness; Exploration of the impact of World Englishes and English as a Lingua Franca on pronunciation assessment; Evaluation of the validity and reliability of testing, including analysis of scoring methodologies; Discussion of current and future practice in assessing pronunciation via speech recognition technology. Assessment in Second Language Pronunciation is vital reading for students studying modules on pronunciation and language testing and assessment.



Robust Adaptation To Non Native Accents In Automatic Speech Recognition


Robust Adaptation To Non Native Accents In Automatic Speech Recognition
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Author : Silke Goronzy
language : en
Publisher: Springer
Release Date : 2003-07-01

Robust Adaptation To Non Native Accents In Automatic Speech Recognition written by Silke Goronzy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-01 with Computers categories.


Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems. In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system.



Phonology In Context


Phonology In Context
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Author : M. Pennington
language : en
Publisher: Springer
Release Date : 2006-11-22

Phonology In Context written by M. Pennington and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-22 with Language Arts & Disciplines categories.


Phonology in Context takes a fresh look at phonology in a range of real-world contexts that go beyond traditional concerns and challenge existing assumptions and practices. It brings together research and theory from a range of research areas to suggest new directions for the field.



Pattern Recognition


Pattern Recognition
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Author : Walter Kropatsch
language : en
Publisher: Springer
Release Date : 2005-09-14

Pattern Recognition written by Walter Kropatsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-14 with Computers categories.


It is both an honor and a pleasure to hold the 27th Annual Meeting of the German Association for Pattern Recognition, DAGM 2005, at the Vienna U- versity of Technology, Austria, organized by the Pattern Recognition and Image Processing (PRIP) Group. We received 122 contributions of which we were able to accept 29 as oral presentations and 31 as posters. Each paper received three reviews, upon which decisions were made based on correctness, presentation, technical depth, scienti?c signi?cance and originality. The selection as oral or poster presentation does not signify a quality grading but re?ects attractiveness to the audience which is also re?ected in the order of appearance of papers in these proceedings. The papers are printed in the same order as presented at the symposium and posters are integrated in the corresponding thematic session. In putting these proceedings together, many people played signi?cant roles which we would like to acknowledge. First of all our thanks go to the authors who contributed their work to the symposium. Second, we are grateful for the dedicated work of the 38 members of the Program Committee for their e?ort in evaluating the submitted papers and inprovidingthe necessarydecisionsupport information and the valuable feedback for the authors. Furthermore, the P- gram Committee awarded prizes for the best papers, and we want to sincerely thank the donors. We were honored to have the following three invited speakers at the conf- ence: – Jan P.



Progress In Pattern Recognition Image Analysis And Applications


Progress In Pattern Recognition Image Analysis And Applications
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Author : Luis Rueda
language : en
Publisher: Springer
Release Date : 2007-11-13

Progress In Pattern Recognition Image Analysis And Applications written by Luis Rueda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-13 with Computers categories.


This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.