6 citations · 23 across the 17 of their papers we have counts for
8 papers · 1 filter
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Renjie Zheng, Mingbo Ma, Baigong Zheng +4
Simultaneous speech-to-speech translation is widely useful but extremely challenging, since it needs to generate target-language speech concurrently with the source-language speech…
Opportunistic Decoding with Timely Correction for Simultaneous Translation
Renjie Zheng, Mingbo Ma, Baigong Zheng +2
Simultaneous translation has many important application scenarios and attracts much attention from both academia and industry recently. Most existing frameworks, however, have diff…
Simultaneous Translation Policies: From Fixed to Adaptive
Baigong Zheng, Kaibo Liu, Renjie Zheng +3
Adaptive policies are better than fixed policies for simultaneous translation, since they can flexibly balance the tradeoff between translation quality and latency based on the cur…
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
Mingbo Ma, Baigong Zheng, Kaibo Liu +5
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural methods became capable of producing audios with high naturalness. However, these efforts s…
Speculative Beam Search for Simultaneous Translation
Renjie Zheng, Mingbo Ma, Baigong Zheng +1
Beam search is universally used in full-sentence translation but its application to simultaneous translation remains non-trivial, where output words are committed on the fly. In pa…
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Baigong Zheng, Renjie Zheng, Mingbo Ma +1
Simultaneous translation is widely useful but remains challenging. Previous work falls into two main categories: (a) fixed-latency policies such as Ma et al. (2019) and (b) adaptiv…
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report
Renjie Zheng, Hairong Liu, Mingbo Ma +2
This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Transla…
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
Baigong Zheng, Renjie Zheng, Mingbo Ma +1
Simultaneous translation is widely useful but remains one of the most difficult tasks in NLP. Previous work either uses fixed-latency policies, or train a complicated two-staged mo…