Automatic Speech Recognition and Translation for Low Resource Languages

Foreword

Recent advancements in Automatic Speech Recognition (ASR) and Machine Translation (MT) technologies have brought about a new era of hope and possibility for these low-resource languages. The convergence of cutting-edge research, powerful algorithms, and increased computational capacity has paved the way for groundbreaking applications that can revolutionize linguistic accessibility and inclusion.

This book stands as a testament to the transformative potential of ASR and MT technologies for marginalized languages. It brings together a diverse group of experts, researchers, and practitioners who have dedicated their efforts to addressing the unique challenges faced by low-resource languages and finding ways to overcome them with ASR and MT.

The chapters herein explore a wide range of topics related to ASR and MT for low-resource languages. The book delves into the theoretical foundations of ASR and MT, providing readers with a comprehensive understanding of the underlying principles and methodologies. It examines the technical intricacies and practical considerations of developing ASR and MT systems that are specifically tailored to low-resource languages, taking into account the scarcity of data and linguistic resources.

Moreover, this book sheds light on the potential applications of ASR and MT technologies beyond mere transcription and translation. It explores how these technologies can be harnessed to preserve endangered languages, facilitate cross-cultural communication, ...