Our lab is committed to cutting-edge research in speech generation, spoken dialogue systems, and spatial audio generation. We strive to develop intelligent, natural, and immersive audio technologies that advance human–machine interaction and multimedia experiences.
MM-Speech
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SwanSphere
SwanSphere Public[ICML 2026] Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
Python 120
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DuplexSurvey
DuplexSurvey Public[EMNLP 2026 Main] Speaking While Listening: a survey and empirical audit of full-duplex spoken dialogue systems — L0–L3 architectural hierarchy, T×I×R interaction ontology, and a five-state decisio…
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DualAxisRM
DualAxisRM Public[ACL 2026] Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models
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DiTReducio
DiTReducio Public[ACL 2026] DiTReducio: A Training-Free Acceleration for DiT-Based TTS viaProgressive Calibration
Repositories
Showing 10 of 19 repositories
- DuplexSurvey Public
[EMNLP 2026 Main] Speaking While Listening: a survey and empirical audit of full-duplex spoken dialogue systems — L0–L3 architectural hierarchy, T×I×R interaction ontology, and a five-state decision machine, with a curated list of models, datasets, and benchmarks.
- AudioGen-Paradigm-Bench Public
A Reproducible Study of Autoregressive, Diffusion and Flow-Matching Generative Models for Speech, Singing Voice and Sound Effects
- Controllable-TTS-Survey Public
- MT-Speech-Dialogue Public
- SwanSphere Public
[ICML 2026] Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
- VoxZip Public
- RoleJudge Public
[ACM MM 2026] Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning
- SDiaReward Public
[ACL 2026] SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness
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