activity
20232026
most citedSpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

5 citations · 11 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SD2026

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation

Jun Zhan, Chen Yang, Yitian Gong +23

Recent generative models are moving beyond silent video or standalone audio synthesis toward the joint generation of synchronized audio and video. Despite this progress, jointly ge…

cs.SD2026

MOSS-Audio Technical Report

Chen Yang, Chufan Yu, Hanfu Chen +27

MOSS-Audio is a unified audio-language model for speech, environmental sound, and music understanding, supporting audio captioning, time-aware question answering, timestamped trans…

cs.SD2026

MOSS-TTSD: Text to Spoken Dialogue Generation

Yuqian Zhang, Donghua Yu, Zhengyuan Lin +15

Spoken dialogue generation is crucial for applications like podcasts, dynamic commentary, and entertainment content, but poses significant challenges compared to single-utterance t…

cs.SD2025

VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions

Jun Zhan, Mingyang Han, Yuxuan Xie +11

Spoken language models (SLMs) have emerged as a unified paradigm for speech understanding and generation, enabling natural human machine interaction. However, while most progress h…

cs.CL2024★ 2 cited

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Jiasheng Ye, Peiju Liu, Tianxiang Sun +3

Pretraining data of large language models composes multiple domains (e.g., web texts, academic papers, codes), whose mixture proportions crucially impact the competence of outcome…

cs.CL2024★ 3 cited

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Jun Zhan, Junqi Dai, Jiasheng Ye +13

We introduce AnyGPT, an any-to-any multimodal language model that utilizes discrete representations for the unified processing of various modalities, including speech, text, images…

cs.CL2024★ 1 cited

SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

Dong Zhang, Xin Zhang, Jun Zhan +3

Benefiting from effective speech modeling, current Speech Large Language Models (SLLMs) have demonstrated exceptional capabilities in in-context speech generation and efficient gen…

cs.CL2023★ 5 cited

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Dong Zhang, Shimin Li, Xin Zhang +4

Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT.…