16 citations · 27 across the 31 of their papers we have counts for
7 papers · 1 filter
VoxMind: An End-to-End Agentic Spoken Dialogue System
Tianle Liang, Yifu Chen, Shengpeng Ji +7
Recent end-to-end spoken dialogue models enable natural interaction. However, as user demands become increasingly complex, models that rely solely on conversational abilities often…
T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback
Zehan Wang, Ke Lei, Chen Zhu +8
Text-to-audio (T2A) generation has achieved remarkable progress in generating a variety of audio outputs from language prompts. However, current state-of-the-art T2A models still s…
InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training
Dingdong Wang, Jin Xu, Ruihang Chu +6
Recent advancements in speech large language models (SpeechLLMs) have attracted considerable attention. Nonetheless, current methods exhibit suboptimal performance in adhering to s…
WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models
Yifu Chen, Shengpeng Ji, Haoxiao Wang +5
Retrieval Augmented Generation (RAG) has gained widespread adoption owing to its capacity to empower large language models (LLMs) to integrate external knowledge. However, existing…
Enhancing Expressive Voice Conversion with Discrete Pitch-Conditioned Flow Matching Model
Jialong Zuo, Shengpeng Ji, Minghui Fang +8
This paper introduces PFlow-VC, a conditional flow matching voice conversion model that leverages fine-grained discrete pitch tokens and target speaker prompt information for expre…
OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
Xize Cheng, Siqi Zheng, Zehan Wang +8
The scaling up has brought tremendous success in the fields of vision and language in recent years. When it comes to audio, however, researchers encounter a major challenge in scal…