15 citations · 16 across the 5 of their papers we have counts for
5 papers
PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis
Bowen Li, Shaotong Guo, Zhen Wang +11
Building state-of-the-art text-to-speech (TTS) systems typically demands millions of hours of proprietary data and complex multi-stage architectures, creating substantial barriers…
Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations
Yichen Han, Xiaoyang Hao, Keming Chen +25
Text-to-speech (TTS) synthesis has seen renewed progress under the discrete modeling paradigm. Existing autoregressive approaches often rely on single-codebook representations, whi…
Baichuan-Omni-1.5 Technical Report
Yadong Li, Jun Liu, Tao Zhang +89
We introduce Baichuan-Omni-1.5, an omni-modal model that not only has omni-modal understanding capabilities but also provides end-to-end audio generation capabilities. To achieve f…
Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement
Qianniu Chen, Xiaoyang Hao, Bowen Li +2
Zero-shot Text-To-Speech (TTS) synthesis shows great promise for personalized voice customization through voice cloning. However, current methods for achieving zero-shot TTS heavil…
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang, Zheng Feng, Yanjun Li +5
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open chal…