Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

no code implementations • NAACL (BEA) 2022 • Lei Chen, Chenglin Jiang, Yiwei Gu, Yang Liu, Jiahong Yuan

Reduced form pronunciations are widely used by native English speakers, especially in casual conversations.

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English

1 code implementation • 31 Oct 2018 • Yan Yin, Ramon Prieto, Bin Wang, Jianwei Zhou, Yiwei Gu, Yang Liu, Hui Lin

Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on various tasks.

speech-recognition Speech Recognition

Aspect-based Opinion Summarization with Convolutional Neural Networks

no code implementations • 30 Nov 2015 • Haibing Wu, Yiwei Gu, Shangdi Sun, Xiaodong Gu

To tackle aspect mapping and sentiment classification, we propose two Convolutional Neural Network (CNN) based methods, cascaded CNN and multitask CNN.

Aspect Extraction Classification +6