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Qiuming Zhao

2 accepted papers

2026

LOW-RANK AND SPARSE MODEL MERGING FOR MULTI-LINGUAL SPEECH RECOGNITION AND TRANSLATION

ICASSP 2026poster

Language diversity presents a significant challenge in speech-to-text (S2T) tasks, such as automatic speech recognition and translation. Traditional multi-lingual multi-task training approaches aim to address this by jointly optimising multiple speech recognition and translation tasks across various…

Cited by 0SourcePDFScholar
2024

Enhancing Quantised End-to-End ASR Models Via Personalisation

ICASSP 2024accepted

Recent end-to-end automatic speech recognition (ASR) models have become increasingly larger, making them particularly challenging to be deployed on resource-constrained devices. Model quantisation is an effective solution that sometimes causes the word error rate (WER) to increase. In this paper, a…

Cited by 4SourceScholar