Posts sorted by ExpSound
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S. Huq, P. Xi, R. Goubran, J. J. Valdés, F. Knoefel and J. R. Green, “Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification,” 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, “Domestic Sound Classification with Deep Learning” 2023 IEEE Sensors Applications Symposium (SAS), 2023.
E. Boulay, B. Wallace, K. Fraser, M. Kunz, F. Knoefel, R. Goubran, N. Thomas, “Design and Validation of a System to Synchronize Speech Recognition and Eye-Tracking Measurements” 2023 IEEE Sensors Applications Symposium (SAS), 2023.
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B. Laska, B. Wallace, A. Hudak, R. Goubran, “Room Acoustic Characterization with Smartphone-based Automated Speech Recognition” 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, “Cough Classification with Derived Deep Features using Audio Spectrogram Transformer”, IEEE BigData 2022, 2022.
M. Cohen-McFarlane, F., Hassan, P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Impact of face covering models on respiratory sound classification applications” 2022 IEEE Sensors Applications Symposium (SAS), 2022.
K. Habashy, J. Valdes, M. Cohen-McFarlane, F., P. Xi, B. Wallace, R. Goubran, F. Knoefel, “Cough Classification Using Audio Spectrogram Transformer” 2022 IEEE Sensors Applications Symposium (SAS), 2022
M. Cohen-McFarlane, B. Wallace, P. Xi, R. Goubran, F. Knoefel, “Feasibility analysis of the fusion of pressure sensors and audio measurements for respiratory evaluations”, 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., “Evaluation of Respiratory Sounds using Image-based Approaches for Health Measurement Applications”, IEEE Open Journal of Engineering in Medicine and Biology, 2022.
Cohen-MacFarlane, M “Human Respiratory Sound Classification for Remote Health Monitoring Applications”, PhD Thesis, Carleton University, 2022.
Cohen-McFarlane, M., Xi, P., Wallace, B., Valdés, J., Goubran, R. Knoefel, F., “Impact of face coverings on cough measurement characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
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