57 citations · 87 across the 7 of their papers we have counts for
7 papers
Natural Language-Assisted Sign Language Recognition
Ronglai Zuo, Fangyun Wei, Brian Mak
Sign languages are visual languages which convey information by signers' handshape, facial expression, body movement, and so forth. Due to the inherent restriction of combinations…
On the Audio-visual Synchronization for Lip-to-Speech Synthesis
Zhe Niu, Brian Mak
Most lip-to-speech (LTS) synthesis models are trained and evaluated under the assumption that the audio-video pairs in the dataset are perfectly synchronized. In this work, we show…
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
Ronglai Zuo, Brian Mak
Most deep-learning-based continuous sign language recognition (CSLR) models share a similar backbone consisting of a visual module, a sequential module, and an alignment module. Ho…
Two-Stream Network for Sign Language Recognition and Translation
Yutong Chen, Ronglai Zuo, Fangyun Wei +3
Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existin…
Transformer based Multilingual document Embedding model
Wei Li, Brian Mak
One of the current state-of-the-art multilingual document embedding model LASER is based on the bidirectional LSTM neural machine translation model. This paper presents a transform…
Cross-lingual Multi-speaker Text-to-speech Synthesis for Voice Cloning without Using Parallel Corpus for Unseen Speakers
Zhaoyu Liu, Brian Mak
We investigate a novel cross-lingual multi-speaker text-to-speech synthesis approach for generating high-quality native or accented speech for native/foreign seen/unseen speakers i…