LEADER 03815nam 22005413 450 001 9911020472903321 005 20240321080236.0 010 $a9781394214624 010 $a1394214626 010 $a9781394214129 010 $a139421412X 035 $a(MiAaPQ)EBC31214541 035 $a(Au-PeEL)EBL31214541 035 $a(CKB)30967969100041 035 $a(OCoLC)1427496804 035 $a(OCoLC-P)1427496804 035 $a(CaSebORM)9781394213580 035 $a(Perlego)4363675 035 $a(OCoLC)1427668168 035 $a(EXLCZ)9930967969100041 100 $a20240321d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomatic Speech Recognition and Translation for Low Resource Languages 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a1 online resource (495 pages) 311 08$a9781394213580 311 08$a1394213581 330 $aAUTOMATIC 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. 606 $aTranslating and interpreting$xTechnological innovations 615 0$aTranslating and interpreting$xTechnological innovations. 676 $a418/.020285 700 $aKumar$b L. Ashok$01439182 701 $aRenuka$b D. Karthika$01761837 701 $aChakravarthi$b Bharathi Raja$01361170 701 $aMandl$b Thomas$01361175 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020472903321 996 $aAutomatic Speech Recognition and Translation for Low Resource Languages$94422317 997 $aUNINA