The generalization ability often determines the success of machine learning algorithms in
practice. Therefore, it is of great theoretical and practical importance to understand and …

This paper introduces a novel training framework called Focused Discriminative Training
(FDT) to further improve streaming word-piece end-to-end (E2E) automatic speech …

Modern deep learning models, growing larger and more complex, have demonstrated
exceptional generalization and accuracy due to training on huge datasets. This trend is …

Maximum mutual information (MMI) has become one of the two de facto methods for
sequence-level training of speech recognition acoustic models. This paper aims to isolate …

Serving as the bridge between physical and cyber world, Internet-of-Things (IoT) connects a
sheer volume of objects and humans with the functions of communication, storage, learning …