The rapid global spread of COVID-19 has highlighted the need for efficient and scalable respiratory disease screening methods. Compared with conventional diagnostic approaches such as RT-PCR, cough sound–based analysis provides a non-invasive and low-cost alternative. This paper proposes a lightweight deep learning fra...
Lixinyu Lu, Qifeng Han, Helu Hu et al.· International Conference on...· 0 citations
As diffusion models continue to demonstrate significant potential in the field of speech enhancement, it has become increasingly important to investigate the factors that influence reconstruction quality and to evaluate their robustness and generalization capabilities across various real-world environments. This paper...
Lang-Ran Yuan, Qifeng Han, Zhihao Xu et al.· International Conference on...· 0 citations
Speech editing is gradually making its way into everyday applications. This paper presents Speech Editor, a practical software system built upon SpeechTripleNet for disentangled speech representation learning. The system enables real-time end-to-end speech editing, including local modification of pitch and energy as we...
Jiayi Wang, Qifeng Han, Danyi Huang et al.· International Conference on...· 0 citations
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