19 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.CL2020★ 4 cited
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…
eess.AS2019★ 19 cited
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…
cs.CL2018
NMT-based Cross-lingual Document Embeddings
Wei Li, Brian Mak
This paper investigates a cross-lingual document embedding method that improves the current Neural machine Translation framework based Document Vector (NTDV or simply NV). NV is de…