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20212026
most citedEnd-to-End Mandarin Tone Classification with Short Term Context Information

3 citations · 4 across the 6 of their papers we have counts for

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6 papers

cs.AI2026

Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement

Mingyu Xu, Cheng Fang, Keyue Jiang +16

We present Logics-STEM, a state-of-the-art reasoning model fine-tuned on Logics-STEM-SFT-Dataset, a high-quality and diverse dataset at 10M scale that represents one of the largest…

cs.CV2025

AVC-DPO: Aligned Video Captioning via Direct Preference Optimization

Jiyang Tang, Hengyi Li, Yifan Du +1

Although video multimodal large language models (video MLLMs) have achieved substantial progress in video captioning tasks, it remains challenging to adjust the focal emphasis of v…

cs.CL2024★ 1 cited

Improving ASR Contextual Biasing with Guided Attention

Jiyang Tang, Kwangyoun Kim, Suwon Shon +3

In this paper, we propose a Guided Attention (GA) auxiliary training loss, which improves the effectiveness and robustness of automatic speech recognition (ASR) contextual biasing…

eess.AS2023

A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning

Jiyang Tang, William Chen, Xuankai Chang +2

Aphasia is a language disorder that affects the speaking ability of millions of patients. This paper presents a new benchmark for Aphasia speech recognition and detection tasks usi…

cs.CL2023

A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks

Yifan Peng, Kwangyoun Kim, Felix Wu +7

Conformer, a convolution-augmented Transformer variant, has become the de facto encoder architecture for speech processing due to its superior performance in various tasks, includi…

cs.SD2021★ 3 cited

End-to-End Mandarin Tone Classification with Short Term Context Information

Jiyang Tang, Ming Li

In this paper, we propose an end-to-end Mandarin tone classification method from continuous speech utterances utilizing both the spectrogram and the short-term context information…