3 citations · 6 across the 2 of their papers we have counts for
8 papers
DGC-vector: A new speaker embedding for zero-shot voice conversion
Ruitong Xiao, Haitong Zhang, Yue Lin
Recently, more and more zero-shot voice conversion algorithms have been proposed. As a fundamental part of zero-shot voice conversion, speaker embeddings are the key to improving t…
Improve few-shot voice cloning using multi-modal learning
Haitong Zhang, Yue Lin
Recently, few-shot voice cloning has achieved a significant improvement. However, most models for few-shot voice cloning are single-modal, and multi-modal few-shot voice cloning ha…
Revisiting IPA-based Cross-lingual Text-to-speech
Haitong Zhang, Haoyue Zhan, Yang Zhang +2
International Phonetic Alphabet (IPA) has been widely used in cross-lingual text-to-speech (TTS) to achieve cross-lingual voice cloning (CL VC). However, IPA itself has been unders…
The NeteaseGames System for Voice Conversion Challenge 2020 with Vector-quantization Variational Autoencoder and WaveNet
Haitong Zhang
This paper presents the description of our submitted system for Voice Conversion Challenge (VCC) 2020 with vector-quantization variational autoencoder (VQ-VAE) with WaveNet as the…
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages
Haitong Zhang, Yue Lin
Recently, sequence-to-sequence models with attention have been successfully applied in Text-to-speech (TTS). These models can generate near-human speech with a large accurately-tra…
Improving Interpretability of Word Embeddings by Generating Definition and Usage
Haitong Zhang, Yongping Du, Jiaxin Sun +1
Word embeddings are substantially successful in capturing semantic relations among words. However, these lexical semantics are difficult to be interpreted. Definition modeling prov…