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20222026
most citedRecent Advances in Discrete Speech Tokens: A Review

1 citations · 2 across the 15 of their papers we have counts for

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cs.SD2026

HoliTok: A Continuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding

Bohan Li, Shi Lian, Hankun Wang +6

Unified speech foundation models require a holistic tokenization space that is both learnable by language models and decodable into high-quality waveforms. Existing speech tokenize…

cs.SD2026

RAS: a Reliability Oriented Metric for Automatic Speech Recognition

Wenbin Huang, Yuhang Qiu, Bohan Li +5

Automatic speech recognition systems often produce confident yet incorrect transcriptions under noisy or ambiguous conditions, which can be misleading for both users and downstream…

cs.SD2025

ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models

Bohan Li, Wenbin Huang, Yuhang Qiu +7

Large Audio Language Models (LALMs), which couple acoustic perception with large language models (LLMs) to extract and understand diverse information from audio, have attracted int…

cs.SD2025

Robust and Efficient Autoregressive Speech Synthesis with Dynamic Chunk-wise Prediction Policy

Bohan Li, Zhihan Li, Haoran Wang +5

Recently, autoregressive (AR) language models have emerged as a dominant approach in speech synthesis, offering expressive generation and scalable training. However, conventional A…

cs.SD2025

Towards General Discrete Speech Codec for Complex Acoustic Environments: A Study of Reconstruction and Downstream Task Consistency

Haoran Wang, Guanyu Chen, Bohan Li +5

Neural speech codecs excel in reconstructing clean speech signals; however, their efficacy in complex acoustic environments and downstream signal processing tasks remains underexpl…

cs.SD2024

DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation

Baihan Li, Zeyu Xie, Xuenan Xu +5

Audio generation has attracted significant attention. Despite remarkable enhancement in audio quality, existing models overlook diversity evaluation. This is partially due to the l…