MCS: An In-battle Commentary System for MOBA Games

no code implementations • COLING 2022 • Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, Min Li

This paper introduces a generative system for in-battle real-time commentary in mobile MOBA games.

Self-critical Sequence Training for Automatic Speech Recognition

no code implementations • 13 Apr 2022 • Chen Chen, Yuchen Hu, Nana Hou, Xiaofeng Qi, Heqing Zou, Eng Siong Chng

Although automatic speech recognition (ASR) task has gained remarkable success by sequence-to-sequence models, there are two main mismatches between its training and testing that might lead to performance degradation: 1) The typically used cross-entropy criterion aims to maximize log-likelihood of the training data, while the performance is evaluated by word error rate (WER), not log-likelihood; 2) The teacher-forcing method leads to the dependence on ground truth during training, which means that model has never been exposed to its own prediction before testing.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Interactive Audio-text Representation for Automated Audio Captioning with Contrastive Learning

no code implementations • 29 Mar 2022 • Chen Chen, Nana Hou, Yuchen Hu, Heqing Zou, Xiaofeng Qi, Eng Siong Chng

Automated Audio captioning (AAC) is a cross-modal task that generates natural language to describe the content of input audio.

Audio captioning Contrastive Learning