Posts sorted by ExpSound
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S. Huq, P. Xi, R. Goubran, J. J. Vald茅s, F. Knoefel and J. R. Green, 鈥淒ata Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification,鈥 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, Korea, Republic of, 2023, pp. 1-6.
Z. Zhang, Y. Shen, J. Valdes, S. Huq, B. Wallace, J. Green, P. Xi, R. Goubran, F. Knoefel, 鈥淒omestic Sound Classification with Deep Learning鈥 2023 IEEE Sensors Applications Symposium (SAS), 2023.
E. Boulay, B. Wallace, K. Fraser, M. Kunz, F. Knoefel, R. Goubran, N. Thomas, 鈥淒esign and Validation of a System to Synchronize Speech Recognition and Eye-Tracking Measurements鈥 2023 IEEE Sensors Applications Symposium (SAS), 2023.
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B. Laska, B. Wallace, A. Hudak, R. Goubran, 鈥淩oom Acoustic Characterization with Smartphone-based Automated Speech Recognition鈥 2023 IEEE Sensors Applications Symposium (SAS), 2023.
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J. Valdes, K. Habashy, P. Xi, M. Cohen-McFarlane, B. Wallace, R. Goubran, F. Knoefel, 鈥淐ough Classification with Derived Deep Features using Audio Spectrogram Transformer鈥, IEEE BigData 2022, 2022.
M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, 鈥淚mpact of face covering models on respiratory sound classification applications鈥 2022 IEEE Sensors Applications Symposium (SAS), 2022.
K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, 鈥淐ough Classification Using Audio Spectrogram Transformer鈥 2022 IEEE Sensors Applications Symposium (SAS), 2022
M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, 鈥淔easibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations鈥, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022.
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Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R., Knoefel, F., 鈥淓valuation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications鈥, IEEE Open Journal of Engineering in Medicine and Biology, 2022.
Cohen-MacFarlane, M 鈥淗uman Respiratory Sound Classification for Remote Health Monitoring Applications鈥, PhD Thesis, 杏吧原创 University, 2022.
Cohen-McFarlane, M., Xi, P., Wallace, B., Vald茅s, J., Goubran, R. Knoefel, F., 鈥淚mpact of face coverings on cough measurement characterization鈥, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
Vald茅s, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., 鈥淎nalysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization鈥, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
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