{"product_id":"automatic-speech-recognition-and-translation-for-low-resource-languages-hardback-9781394213580","title":"Automatic Speech Recognition and Translation for Low Resource Languages (Hardback) 9781394213580","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAutomatic Speech Recognition and Translation for Low Resource Languages\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eL. Ashok Kumar (Edited by), Kumar (Author), D. Karthika Renuka (Edited by), Bharathi Raja Chakravarthi (Edited by), Thomas Mandl (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394213580, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 3 May 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e496 pages\u003cbr\u003e22.9 x 15.2 x 3 cm, 0.989 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAUTOMATIC SPEECH RECOGNITION \u003ci\u003eand\u003c\/i\u003e TRANSLATION \u003ci\u003efor\u003c\/i\u003e LOW-RESOURCE LANGUAGES\u003c\/b\u003e \u003cp\u003e\u003cb\u003eThis 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. \u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eAutomatic Speech Recognition and Translation for Low Resource Languages\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThe 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.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword xix\u003c\/p\u003e \u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003eAcknowledgement xxiii\u003c\/p\u003e \u003cp\u003e1 A Hybrid Deep Learning Model for Emotion Conversion in Tamil Language 1\u003cbr\u003e\u003ci\u003eSatrughan Kumar Singh, Muniyan Sundararajan and Jainath Yadav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Attention-Based End-to-End Automatic Speech Recognition System for Vulnerable Individuals in Tamil 15\u003cbr\u003e\u003ci\u003eS. Suhasini, B. Bharathi and Bharathi Raja Chakravarthi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Speech-Based Dialect Identification for Tamil 27\u003cbr\u003e\u003ci\u003eArchana J.P. and B. Bharathi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Language Identification Using Speech Denoising Techniques: A Review 41\u003cbr\u003e\u003ci\u003eAmal Kumar, Piyush Kumar Singh and Jainath Yadav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Domain Adaptation-Based Self-Supervised ASR Models for Low-Resource Target Domain 51\u003cbr\u003e\u003ci\u003eL. Ashok Kumar, D. Karthika Renuka, Naveena K. S. and Sree Resmi S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 ASR Models from Conventional Statistical Models to Transformers and Transfer Learning 69\u003cbr\u003e\u003ci\u003eElizabeth Sherly, Leena G. Pillai and Kavya Manohar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Syllable-Level Morphological Segmentation of Kannada and Tulu Words 113\u003cbr\u003e\u003ci\u003eAsha Hegde and Hosahalli Lakshmaiah Shashirekha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 A New Robust Deep Learning-Based Automatic Speech Recognition and Machine Transition Model for Tamil and Gujarati 135\u003cbr\u003e\u003ci\u003eMonesh Kumar M. K., Valliammai V., Geraldine Bessie Amali D. and Mathew M. Noel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Forensic Voice Comparison Approaches for Low-Resource Languages 155\u003cbr\u003e\u003ci\u003eKruthika S.G., Trisiladevi C. Nagavi and P. Mahesha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 CoRePooL--Corpus for Resource-Poor Languages: Badaga Speech Corpus 193\u003cbr\u003e\u003ci\u003eBarathi Ganesh H.B., Jyothish Lal G., Jairam R., Soman K.P., Kamal N.S. and Sharmila B.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Bridging the Linguistic Gap: A Deep Learning-Based Image- to-Text Converter for Ancient Tamil with Web Interface 213\u003cbr\u003e\u003ci\u003eS. Umamaheswari, G. Gowtham and K. Harikumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Voice Cloning for Low-Resource Languages: Investigating the Prospects for Tamil 243\u003cbr\u003e\u003ci\u003eVishnu Radhakrishnan, Aadharsh Aadhithya A., Jayanth Mohan, Visweswaran M., Jyothish Lal G. and Premjith B.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Transformer-Based Multilingual Automatic Speech Recognition (ASR) Model for Dravidian Languages 259\u003cbr\u003e\u003ci\u003eDivi Eswar Chowdary, Rahul Ganesan, Harsha Dabbara, G. Jyothish Lal and Premjith B.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Language Detection Based on Audio for Indian Languages 275\u003cbr\u003e\u003ci\u003eAmogh A. M., A. Hari Priya, Thanvitha Sai Kanchumarti, Likhitha Ram Bommilla and Rajeshkannan Regunathan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Strategies for Corpus Development for Low-Resource Languages: Insights from Nepal 297\u003cbr\u003e\u003ci\u003eBal Krishna Bal, Balaram Prasain, Rupak Raj Ghimire and Praveen Acharya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Deep Neural Machine Translation (DNMT): Hybrid Deep Learning Architecture-Based English-to-Indian Language Translation 331\u003cbr\u003e\u003ci\u003eNivaashini M., Priyanka G. and Aarthi S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Multiview Learning-Based Speech Recognition for Low-Resource Languages 375\u003cbr\u003e\u003ci\u003eAditya Kumar and Jainath Yadav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Automatic Speech Recognition Based on Improved Deep Learning 405\u003cbr\u003e\u003ci\u003eKingston Pal Thamburaj and Kartheges Ponniah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 Comprehensive Analysis of State-of-the-Art Approaches for Speaker Diarization 427\u003cbr\u003e\u003ci\u003eTrisiladevi C. Nagavi, Samanvitha S., Shreya Sudhanva, Sukirth Shivakumar and Vibha Hullur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 Spoken Language Translation in Low-Resource Language 445\u003cbr\u003e\u003ci\u003eS. Shoba, Sasithradevi A. and S. Deepa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 456\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433207623960,"sku":"9781394213580","price":165.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394213580.jpg?v=1784851836","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/automatic-speech-recognition-and-translation-for-low-resource-languages-hardback-9781394213580","provider":"Freshly Printed Books","version":"1.0","type":"link"}