Items where Author, Editor or other role is "Pham, Lam"
Number of items: 11.
Article
Pham, Lam Dang, Phan, Huy, Palaniappan, Ramaswamy, Mertins, Alfred, McLoughlin, Ian Vince (2021) CNN-MoE based framework for classification of respiratory anomalies and lung disease detection. IEEE Journal of Biomedical and Health Informatics, 25 (8). pp. 2938-2947. ISSN 2168-2194. (doi:10.1109/jbhi.2021.3064237) (KAR id:91393) |
Pham, Lam Dang, Phan, Huy, Nguyen, Truc, Palaniappan, Ramaswamy, Mertins, Afred, McLoughlin, Ian Vince (2020) Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. Digital Signal Processing, . Article Number 102943. ISSN 1051-2004. (doi:10.1016/j.dsp.2020.102943) (KAR id:85290) |
Conference or workshop item
Pham, Lam Dang, McLoughlin, Ian Vince, Palaniappan, Ramaswamy, Mertins, Alfred (2020) Deep feature embedding and hierarchical classification for audio scene classification. In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK. (doi:10.1109/IJCNN48605.2020.9206866) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91413) |
Pham, Lam Dang, McLoughlin, Ian Vince, Phan, Huy, Nguyen, Truc, Palaniappan, Ramaswamy (2020) Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). . (doi:10.1109/EMBC44109.2020.9175704) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91414) |
Pham, Lam Dang, McLoughlin, Ian Vince, Phan, Huy, Palaniappan, Ramaswamy (2019) A robust framework for acoustic scene classification. In: Interspeech 2019. . pp. 3634-3638. (doi:doi: 10.21437/Interspeech.2019-1841) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91418) |
Pham, Lam Dang, McLoughlin, Ian Vince, Palaniappan, Ramaswamy (2019) A multi-spectrogram deep neural network for acoustic scene classification. In: Tech. Pep., DACSE 2019 Challenge, June 2019. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91417) |
Pham, Lam Dang, McLoughlin, Ian Vince, Palaniappan, Ramaswamy, Lang, Yue (2019) Bag-of-features models based on C-DNN network for acoustic scene classification. In: 2019 AES International Conference on Audio Forensics (June 2019). . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91420) |
Phan, Huy, Chén, Oliver Y., Koch, Philipp, Pham, Lam Dang, McLoughlin, Ian, Mertins, Alfred, De Vos, Maarten (2019) Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? In: AES E-LIBRARY. 2019 AES Conference on Audio Forensics. . The Audio Engineering Society (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:73780) |
Phan, Huy, Chén, Oliver Y., Koch, Philipp, Pham, Lam Dang, McLoughlin, Ian Vince, Mertins, Afred, De Vos, Maarten (2019) Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). . IEEE (doi:10.1109/ICASSP.2019.8683064) (KAR id:72657) |
McLoughlin, Ian Vince, Song, Yan, Pham, Lam Dang, Palaniappan, Ramaswamy, Phan, Huy, Lang, Yue (2018) Early detection of continuous and partial audio events using CNN. In: Proceedings of Interspeech. 2018-S. pp. 3314-3318. International Speech Communication Association (doi:10.21437/Interspeech.2018-1821) (KAR id:67448) |
Thesis
Pham, Lam Dang (2021) Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.90835) (KAR id:90835) |