most citedAnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

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

collaborators

7 papers

cs.SD2025

XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs

Yitian Gong, Luozhijie Jin, Ruifan Deng +6

Speech codecs serve as bridges between speech signals and large language models. An ideal codec for speech language models should not only preserve acoustic information but also ca…

eess.AS2025

ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching

Han Zhu, Wei Kang, Liyong Guo +11

Generating spoken dialogue is inherently more complex than monologue text-to-speech (TTS), as it demands both realistic turn-taking and the maintenance of distinct speaker timbres.…

cs.SD2024★ 2 cited

IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities

Xin Zhang, Xiang Lyu, Zhihao Du +10

Current methods of building LLMs with voice interaction capabilities rely heavily on explicit text autoregressive generation before or during speech response generation to maintain…

cs.CL2024

SpeechAlign: Aligning Speech Generation to Human Preferences

Dong Zhang, Zhaowei Li, Shimin Li +4

Speech language models have significantly advanced in generating realistic speech, with neural codec language models standing out. However, the integration of human feedback to ali…

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.CL2024★ 1 cited

SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems

Dong Zhang, Zhaowei Li, Pengyu Wang +3

Human communication is a complex and diverse process that not only involves multiple factors such as language, commonsense, and cultural backgrounds but also requires the participa…