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20242026
most citedQwen2.5-Omni Technical Report

12 citations · 30 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

We introduce Qwen-Music, a music generation model that produces high-fidelity songs with complete vocals. It supports text-to-music generation from descriptions, lyrics, and musica…

cs.SD2026★ 1 cited

Qwen3-TTS Technical Report

Hangrui Hu, Xinfa Zhu, Ting He +13

In this report, we present the Qwen3-TTS series, a family of advanced multilingual, controllable, robust, and streaming text-to-speech models. Qwen3-TTS supports state-of-the-art 3…

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.SD2024★ 9 cited

FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Keyu An, Qian Chen, Chong Deng +30

This report introduces FunAudioLLM, a model family designed to enhance natural voice interactions between humans and large language models (LLMs). At its core are two innovative mo…

cs.SD2024★ 4 cited

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Zhihao Du, Qian Chen, Shiliang Zhang +9

Recent years have witnessed a trend that large language model (LLM) based text-to-speech (TTS) emerges into the mainstream due to their high naturalness and zero-shot capacity. In…