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20212026
most citedExploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching

5 citations · 8 across the 5 of their papers we have counts for

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5 papers

cs.SD2026

CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning

Ganesh Pavan Kartikeya Bharadwaj Kolluri, Yuchen Zhang, Michael Kampouridis +1

Modern automated audio captioning systems pair a frozen audio encoder with a large language model (LLM) via a trainable projector, incurring the encoder's inference cost and bottle…

cs.CL2026

Speak in Context: Multilingual ASR with Speech Context Alignment via Contrastive Learning

Yuchen Zhang, Haralambos Mouratidis, Ravi Shekhar

Automatic speech recognition (ASR) has benefited from advances in pretrained speech and language models, yet most systems remain constrained to monolingual settings and short, isol…

cs.CV2023★ 1 cited

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?

Yan Zeng, Hanbo Zhang, Jiani Zheng +5

Recent advancements in Large Language Models (LLMs) such as GPT4 have displayed exceptional multi-modal capabilities in following open-ended instructions given images. However, the…

cs.CL2023★ 2 cited

Rethinking Masked Language Modeling for Chinese Spelling Correction

Hongqiu Wu, Shaohua Zhang, Yuchen Zhang +1

In this paper, we study Chinese Spelling Correction (CSC) as a joint decision made by two separate models: a language model and an error model. Through empirical analysis, we find…

eess.AS2021★ 5 cited

Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching

Zhen Huang, Xiaodan Zhuang, Daben Liu +3

In this paper, we present our initial efforts for building a code-switching (CS) speech recognition system leveraging existing acoustic models (AMs) and language models (LMs), i.e.…