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20202022
most citedCNN-MoE based framework for classification of respiratory anomalies and lung disease detection

1 citations · 2 across the 3 of their papers we have counts for

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eess.AS2023

Adapting Language-Audio Models as Few-Shot Audio Learners

Jinhua Liang, Xubo Liu, Haohe Liu +4

We presented the Treff adapter, a training-efficient adapter for CLAP, to boost zero-shot classification performance by making use of a small set of labelled data. Specifically, we…

eess.AS2023★ 2 cited

cross-modal fusion techniques for utterance-level emotion recognition from text and speech

Jiachen Luo, Huy Phan, Joshua Reiss

Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different moda…

eess.AS2020★ 1 cited

CNN-MoE based framework for classification of respiratory anomalies and lung disease detection

Lam Pham, Huy Phan, Ramaswamy Palaniappan +2

This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect disease, from respirat…