L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from
Smartphone Data

L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data

International Conference on Smart Computing (SMARTCOMP), 2022

16 May 2022

Franca Delmastro

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Papers citing "L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data"

4 / 4 papers shown

Title
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data M. Campana Franca Delmastro Elena Pagani 153 20 0 06 Jul 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones imagesPervasive and Mobile Computing (PMC), 2023 M. Campana Marco Colussi Franca Delmastro S. Mascetti Elena Pagani 168 16 0 29 May 2023
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition Orchid Chetia Phukan Arun Balaji Buduru Rajesh Sharma 195 8 0 22 Apr 2023
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound DataKnowledge Discovery and Data Mining (KDD), 2020 Chloë Brown Jagmohan Chauhan Andreas Grammenos Jing Han Apinan Hasthanasombat Dimitris Spathis Tong Xia Pietro Cicuta Cecilia Mascolo 473 424 0 10 Jun 2020