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20232026
most citedUniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner

2 citations · 2 across the 11 of their papers we have counts for

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cs.SD2026

UniAudio 2.0: A Unified Audio Language Model with Text-Aligned Factorized Audio Tokenization

Dongchao Yang, Yuanyuan Wang, Dading Chong +3

We study two foundational problems in audio language models: (1) how to design an audio tokenizer that can serve as an intermediate representation for both understanding and genera…

cs.SD2026

HeartMuLa: A Family of Open Sourced Music Foundation Models

Dongchao Yang, Yuxin Xie, Yuguo Yin +26

We present a family of open-source Music Foundation Models designed to advance large-scale music understanding and generation across diverse tasks and modalities. Our framework con…

cs.SD2025

DualSpeechLM: Towards Unified Speech Understanding and Generation via Dual Speech Token Modeling with Large Language Models

Yuanyuan Wang, Dongchao Yang, Yiwen Shao +5

Extending pre-trained text Large Language Models (LLMs)'s speech understanding or generation abilities by introducing various effective speech tokens has attracted great attention…

cs.SD2025

ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling

Dongchao Yang, Songxiang Liu, Haohan Guo +9

Recent advancements in audio language models have underscored the pivotal role of audio tokenization, which converts audio signals into discrete tokens, thereby facilitating the ap…

cs.SD2025

UniSep: Universal Target Audio Separation with Language Models at Scale

Yuanyuan Wang, Hangting Chen, Dongchao Yang +7

We propose Universal target audio Separation (UniSep), addressing the separation task on arbitrary mixtures of different types of audio. Distinguished from previous studies, UniSep…

cs.SD2024

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models

Dongchao Yang, Rongjie Huang, Yuanyuan Wang +5

Scaling Text-to-speech (TTS) to large-scale datasets has been demonstrated as an effective method for improving the diversity and naturalness of synthesized speech. At the high lev…

cs.SD2024★ 2 cited

UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner

Dongchao Yang, Haohan Guo, Yuanyuan Wang +5

The Large Language models (LLMs) have demonstrated supreme capabilities in text understanding and generation, but cannot be directly applied to cross-modal tasks without fine-tunin…