Speech Improvement via Transfer Learning

Viac o knihe

This book focuses on transfer learning for spoken language processing, specifically in Automatic Speech Recognition (ASR) and Automatic Speech Translation (AST). It presents an unsupervised domain adaptation algorithm, DUST, which enhances ASR performance by utilizing accessible unlabeled data, addressing the challenge of differing training and target domain distributions.