Search Results for author: EnSiong Chng

Found 2 papers, 1 papers with code

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition

no code implementations • 8 Feb 2024 • Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, EnSiong Chng, Chao-Han Huck Yang

Recent studies have successfully shown that large language models (LLMs) can be successfully used for generative error correction (GER) on top of the automatic speech recognition (ASR) output.

Audio-Visual Speech Recognition Automatic Speech Recognition +3

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Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

1 code implementation • 19 Jan 2024 • Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng

To this end, we propose to extract a language-space noise embedding from the N-best list to represent the noise conditions of source speech, which can promote the denoising process in GER.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

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