Xi Zhou

Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech\n Recognition

2018 · arXiv (Cornell University)

Automatic speech recognition (ASR) tasks are resolved by end-to-end deep\nlearning models, which benefits us by less preparation of raw data, and easier\ntransformation between languages. We propose a novel end-to-end deep learning\nmodel architecture namely cascaded CNN-resBiLSTM-CTC. …

Semantics-Aware BERT for Language Understanding

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machine reading comprehension and natural language inference tasks. However, the existing language …