10 citations · 16 across the 16 of their papers we have counts for
5 papers · 1 filter
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Bowen Zhang, Congchao Guo, Geng Yang +17
We introduce MiniMax-Speech, an autoregressive Transformer-based Text-to-Speech (TTS) model that generates high-quality speech. A key innovation is our learnable speaker encoder, w…
Text-aware and Context-aware Expressive Audiobook Speech Synthesis
Dake Guo, Xinfa Zhu, Liumeng Xue +3
Recent advances in text-to-speech have significantly improved the expressiveness of synthetic speech. However, a major challenge remains in generating speech that captures the dive…
METTS: Multilingual Emotional Text-to-Speech by Cross-speaker and Cross-lingual Emotion Transfer
Xinfa Zhu, Yi Lei, Tao Li +4
Previous multilingual text-to-speech (TTS) approaches have considered leveraging monolingual speaker data to enable cross-lingual speech synthesis. However, such data-efficient app…
Multi-Speaker Expressive Speech Synthesis via Multiple Factors Decoupling
Xinfa Zhu, Yi Lei, Kun Song +3
This paper aims to synthesize the target speaker's speech with desired speaking style and emotion by transferring the style and emotion from reference speech recorded by other spea…
VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis
Yongmao Zhang, Jian Cong, Heyang Xue +3
In this paper, we propose VISinger, a complete end-to-end high-quality singing voice synthesis (SVS) system that directly generates audio waveform from lyrics and musical score. Ou…