9 papers
UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions
Chunyu Qiang, Xiaopeng Wang, Kang Yin +11
Generative audio modeling has largely been fragmented into specialized tasks, text-to-speech (TTS), text-to-music (TTM), and text-to-audio (TTA), each operating under heterogeneous…
Apollo: Unified Multi-Task Audio-Video Joint Generation
Jun Wang, Chunyu Qiang, Yuxin Guo +3
Audio-video joint generation has progressed rapidly, yet substantial challenges still remain. Non-commercial approaches still suffer audio-visual asynchrony, poor lip-speech alignm…
MM-Sonate: Multimodal Controllable Audio-Video Generation with Zero-Shot Voice Cloning
Chunyu Qiang, Jun Wang, Xiaopeng Wang +2
Joint audio-video generation aims to synthesize synchronized multisensory content, yet current unified models struggle with fine-grained acoustic control, particularly for identity…
Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis
Yushen Chen, Junzhe Liu, Yujie Tu +6
Arabic spans over 30 spoken varieties, yet no open-source text-to-speech system unifies them. Key barriers include substantial cross-dialect lexical and phonological divergence, sc…
DMP-TTS: Disentangled multi-modal Prompting for Controllable Text-to-Speech with Chained Guidance
Kang Yin, Chunyu Qiang, Sirui Zhao +6
Controllable text-to-speech (TTS) systems face significant challenges in achieving independent manipulation of speaker timbre and speaking style, often suffering from entanglement…
M3-TTS: Multi-modal DiT Alignment & Mel-latent for Zero-shot High-fidelity Speech Synthesis
Xiaopeng Wang, Chunyu Qiang, Ruibo Fu +10
Non-autoregressive (NAR) text-to-speech synthesis relies on length alignment between text sequences and audio representations, constraining naturalness and expressiveness. Existing…
AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation
Le Wang, Jun Wang, Chunyu Qiang +4
We present AudioGen-Omni - a unified approach based on multimodal diffusion transformers (MMDit), capable of generating high-fidelity audio, speech, and song coherently synchronize…
Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation
Jun Wang, Xijuan Zeng, Chunyu Qiang +19
We propose Kling-Foley, a large-scale multimodal Video-to-Audio generation model that synthesizes high-quality audio synchronized with video content. In Kling-Foley, we introduce m…
Towards Flow-Matching-based TTS without Classifier-Free Guidance
Yuzhe Liang, Wenzhe Liu, Chunyu Qiang +7
Flow matching has demonstrated strong generative capabilities and has become a core component in modern Text-to-Speech (TTS) systems. To ensure high-quality speech synthesis, Class…