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20242026
most citedA Survey on Speech Large Language Models for Understanding

6 citations · 7 across the 13 of their papers we have counts for

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6 papers · 1 filter

eess.AS2026

SURE-EVAL: A Systematic and Unified Agentic Framework for Reproducible Evaluation

Jing Peng, Junhao Du, Yixuan Wang +21

Audio and speech models are released rapidly, but reported scores often conflate model capability with deployment and evaluation choices. The same checkpoint can produce different…

cs.SD2026

dots.tts.edit: Precisely Controlled Speech Editing with a Continuous Autoregressive Model

Hankun Wang, Bohan Li, Shi Lian +7

Speech editing for content creation requires precise control over both what an edit should do and where it should apply. Free-form natural language provides a flexible interface fo…

cs.SD2026

TokAN: Accent Normalization Using Self-Supervised Speech Tokens

Qibing Bai, Shuai Wang, Yuhan Du +3

Accent normalization (AN) seeks to convert non-native (L2) accented speech into standard (L1) speech while preserving speaker identity. The current techniques either require natura…

eess.AS2026

VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track

Wenming Tu, Jian Gao, Yanru Huo +9

Audio reasoning requires multi-step, evidence-grounded inference over temporally dynamic and acoustically mixed signals, exceeding conventional perception tasks such as ASR or capt…

cs.SD2026

dots.tts Technical Report

Shi Lian, Changtao Li, Bohan Li +6

We present dotstts, a 2B-parameter continuous autoregressive text-to-speech (TTS) foundation model that models speech in a continuous latent space. Compared with existing contin…

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…