Automatic Speech Recognition and Translation for Low Resource Languages

Preface

In today’s interconnected world, effective communication across different languages is vital for fostering understanding, collaboration, and progress. However, language barriers pose significant challenges, particularly for languages that lack extensive linguistic resources and technological advancements. In this context, the field of Automatic Speech Recognition (ASR) and translation assumes paramount importance.

ASR and Translation for Low Resource Languages 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. This book sheds light on the innovative approaches and techniques developed by researchers and practitioners to overcome the limitations imposed by scarce linguistic resources and data availability.

To start, the book delves into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. Then in 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 material contained herein encompasses 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 ...