7 papers
StellarTTS: Sparse Temporal Embedding for Low-Latency and Robust Speech Synthesis
Kaicheng Luo, Xuefei Gong, Yutao Sun +6
The trade-off between robustness, latency, and prosody critically challenges text-to-speech (TTS) systems. Autoregressive models, despite fidelity, are slow and error-prone; non-au…
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li +2
Simultaneous Speech Translation (SimulST) enables real-time cross-lingual communication by jointly optimizing speech recognition and machine translation under strict latency constr…
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
Leying Zhang, Yao Qian, Xiaofei Wang +8
Generating natural-sounding, multi-speaker dialogue is crucial for applications such as podcast creation, virtual agents, and multimedia content generation. However, existing syste…
Novel Parasitic Dual-Scale Modeling for Efficient and Accurate Multilingual Speech Translation
Chenyang Le, Yinfeng Xia, Huiyan Li +4
Recent advancements in speech-to-text translation have led to the development of multilingual models capable of handling multiple language pairs simultaneously. However, these unif…
MFLA: Monotonic Finite Look-ahead Attention for Streaming Speech Recognition
Yinfeng Xia, Huiyan Li, Chenyang Le +4
Applying large pre-trained speech models like Whisper has shown promise in reducing training costs for various speech tasks. However, integrating these models into streaming system…
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling
Haiyang Sun, Shujie Hu, Shujie Liu +8
Zero-shot streaming text-to-speech is an important research topic in human-computer interaction. Existing methods primarily use a lookahead mechanism, relying on future text to ach…