Automatic Speech Recognition and Translation for Low Resource Languages (eBook)

L. Ashok Kumar, PhD, is a professor in the Department of Electrical and Electronics Engineering, PSG of Technology, Tamil Nadu, India. He has published more than 175 papers in international and national journals and received 26 awards for his PhD project on wearable electronics at national and international levels. He has created eight Centres of Excellence at PSG in collaboration with government agencies and industries such as the Centre for Audio Visual Speech Recognition and the Centre for Excellence in Solar Thermal Systems. Twenty-three out of 27 of his products have been technologically transferred to government funding agencies. D. Karthika Renuka, PhD, is a professor at PSG of Technology, Tamil Nadu, India. Her main areas of study focus on data mining, evolutionary algorithms, and machine learning. She is a recipient of the Indo-U.S. Fellowship for Women in STEMM. She has organized two international conferences on The Innovation of Computing Techniques and Information Processing and Remote Computing. Bharathi Raja Chakravarthi, PhD, is an assistant professor in the School of Computer Science, University of Galway, Ireland. His studies focus on multimodal machine learning, abusive/offensive language detection, bias in natural language processing tasks, inclusive language detection, and multilingualism. He has published many papers in international journals and conferences. He is an associate editor of the journal Expert System with Application and an editorial board member for Computer Speech & Language. Thomas Mandl, PhD, is a professor of Information Science and Language Technology, University of Hildesheim, Germany. His research interests include information retrieval, human-computer interaction, and internationalization of information technology and he has published more than 300 papers on these topics. He coordinated tracks at the Cross Language Evaluation Forum (CLEF), the European information retrieval evaluation initiative. Thomas Mandl is the co-chair at FIRE, the evaluation initiative for Indian languages, since 2020 and coordinates the HASOC track on hate speech detection.

Foreword xix

Preface xxi

Acknowledgement xxiii

1 A Hybrid Deep Learning Model for Emotion Conversion in Tamil Language 1
Satrughan Kumar Singh, Muniyan Sundararajan and Jainath Yadav

2 Attention-Based End-to-End Automatic Speech Recognition System for Vulnerable Individuals in Tamil 15
S. Suhasini, B. Bharathi and Bharathi Raja Chakravarthi

3 Speech-Based Dialect Identification for Tamil 27
Archana J.P. and B. Bharathi

4 Language Identification Using Speech Denoising Techniques: A Review 41
Amal Kumar, Piyush Kumar Singh and Jainath Yadav

5 Domain Adaptation-Based Self-Supervised ASR Models for Low-Resource Target Domain 51
L. Ashok Kumar, D. Karthika Renuka, Naveena K. S. and Sree Resmi S.

6 ASR Models from Conventional Statistical Models to Transformers and Transfer Learning 69
Elizabeth Sherly, Leena G. Pillai and Kavya Manohar

7 Syllable-Level Morphological Segmentation of Kannada and Tulu Words 113
Asha Hegde and Hosahalli Lakshmaiah Shashirekha

8 A New Robust Deep Learning-Based Automatic Speech Recognition and Machine Transition Model for Tamil and Gujarati 135
Monesh Kumar M. K., Valliammai V., Geraldine Bessie Amali D. and Mathew M. Noel

9 Forensic Voice Comparison Approaches for Low-Resource Languages 155
Kruthika S.G., Trisiladevi C. Nagavi and P. Mahesha

10 CoRePooL--Corpus for Resource-Poor Languages: Badaga Speech Corpus 193
Barathi Ganesh H.B., Jyothish Lal G., Jairam R., Soman K.P., Kamal N.S. and Sharmila B.

11 Bridging the Linguistic Gap: A Deep Learning-Based Image- to-Text Converter for Ancient Tamil with Web Interface 213
S. Umamaheswari, G. Gowtham and K. Harikumar

12 Voice Cloning for Low-Resource Languages: Investigating the Prospects for Tamil 243
Vishnu Radhakrishnan, Aadharsh Aadhithya A., Jayanth Mohan, Visweswaran M., Jyothish Lal G. and Premjith B.

13 Transformer-Based Multilingual Automatic Speech Recognition (ASR) Model for Dravidian Languages 259
Divi Eswar Chowdary, Rahul Ganesan, Harsha Dabbara, G. Jyothish Lal and Premjith B.

14 Language Detection Based on Audio for Indian Languages 275
Amogh A. M., A. Hari Priya, Thanvitha Sai Kanchumarti, Likhitha Ram Bommilla and Rajeshkannan Regunathan

15 Strategies for Corpus Development for Low-Resource Languages: Insights from Nepal 297
Bal Krishna Bal, Balaram Prasain, Rupak Raj Ghimire and Praveen Acharya

16 Deep Neural Machine Translation (DNMT): Hybrid Deep Learning Architecture-Based English-to-Indian Language Translation 331
Nivaashini M., Priyanka G. and Aarthi S.

17 Multiview Learning-Based Speech Recognition for Low-Resource Languages 375
Aditya Kumar and Jainath Yadav

18 Automatic Speech Recognition Based on Improved Deep Learning 405
Kingston Pal Thamburaj and Kartheges Ponniah

19 Comprehensive Analysis of State-of-the-Art Approaches for Speaker Diarization 427
Trisiladevi C. Nagavi, Samanvitha S., Shreya Sudhanva, Sukirth Shivakumar and Vibha Hullur

20 Spoken Language Translation in Low-Resource Language 445
S. Shoba, Sasithradevi A. and S. Deepa

References 456