SwanVoice is a zero-shot TTS system for 1-4 speakers that reports higher richness and hierarchy scores than open-source baselines on monologue and dialogue tasks via mixed training and DiffusionNFT post-training.
Proceedings of the 33rd ACM International Conference on Multimedia , pages =
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
COPRA introduces conditional parameter adaptation via RL to dynamically tune frozen VLMs for video anomaly detection, outperforming static methods in in-domain and cross-domain settings while generalizing to other video tasks.
SwanSphere introduces a causal autoregressive diffusion transformer architecture with SVAC contrastive learning and ODPO optimization for streaming spatial audio generation from video and text.
citing papers explorer
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SwanVoice: Expressive Long-Form Zero-Shot Speech Synthesis for Both Monologue and Dialogue
SwanVoice is a zero-shot TTS system for 1-4 speakers that reports higher richness and hierarchy scores than open-source baselines on monologue and dialogue tasks via mixed training and DiffusionNFT post-training.
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COPRA: Conditional Parameter Adaptation with Reinforcement Learning for Video Anomaly Detection
COPRA introduces conditional parameter adaptation via RL to dynamically tune frozen VLMs for video anomaly detection, outperforming static methods in in-domain and cross-domain settings while generalizing to other video tasks.
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Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
SwanSphere introduces a causal autoregressive diffusion transformer architecture with SVAC contrastive learning and ODPO optimization for streaming spatial audio generation from video and text.