most citedRecent Advances in Discrete Speech Tokens: A Review

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

eess.AS2025

DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation

Yakun Song, Xiaobin Zhuang, Jiawei Chen +8

Recent attempts to interleave autoregressive (AR) sketchers with diffusion-based refiners over continuous speech representations have shown promise, but they remain brittle under d…

eess.AS2025

Direct Preference Optimization for Speech Autoregressive Diffusion Models

Zhijun Liu, Dongya Jia, Xiaoqiang Wang +4

Autoregressive diffusion models (ARDMs) have recently been applied to speech generation, achieving state-of-the-art (SOTA) performance in zero-shot text-to-speech. By autoregressiv…

cs.SD2025

MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation

Yakun Song, Jiawei Chen, Xiaobin Zhuang +9

Neural audio codecs have made significant strides in efficiently mapping raw audio waveforms into discrete token representations, which are foundational for contemporary audio gene…

cs.SD2025

Towards Reliable Large Audio Language Model

Ziyang Ma, Xiquan Li, Yakun Song +8

Recent advancements in large audio language models (LALMs) have demonstrated impressive results and promising prospects in universal understanding and reasoning across speech, musi…

eess.AS2025★ 1 cited

Recent Advances in Discrete Speech Tokens: A Review

Yiwei Guo, Zhihan Li, Hankun Wang +7

The rapid advancement of speech generation technologies in the era of large language models (LLMs) has established discrete speech tokens as a foundational paradigm for speech repr…

eess.AS2025

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

Dongya Jia, Zhuo Chen, Jiawei Chen +8

Several recent studies have attempted to autoregressively generate continuous speech representations without discrete speech tokens by combining diffusion and autoregressive models…

eess.AS2024

Why Do Speech Language Models Fail to Generate Semantically Coherent Outputs? A Modality Evolving Perspective

Hankun Wang, Haoran Wang, Yiwei Guo +3

Although text-based large language models exhibit human-level writing ability and remarkable intelligence, speech language models (SLMs) still struggle to generate semantically coh…

eess.AS2024

LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec

Yiwei Guo, Zhihan Li, Chenpeng Du +3

Although discrete speech tokens have exhibited strong potential for language model-based speech generation, their high bitrates and redundant timbre information restrict the develo…