Publications
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Unsupervised disentanglement of pitch and timbre for isolated musical instrument sounds. Proceedings of the International Society of Music Information Retrieval (ISMIR).
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2020. Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
1912.02613.pdf (2.9 MB)
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2020. 
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR.
jyun-ismir.pdf (5.62 MB)
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2019. 
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications.
main.pdf (2.59 MB)
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2018. 
Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia. Geoscientific Model Development.
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2022. A Hybrid Fuzzy Logic-Neural Network Approach For Multi-path Separation Of Underwater Acoustic Signals. 89th IEEE Vehicular Technology Conference.
fuzzy logic.pdf (1.66 MB)
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2019. 
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. 16th IEEE Asia Pacific Wireless Communications Symposium (APWCS).
1909.02850.pdf (790.54 KB)
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2019. 
Underwater Acoustic Communication Receiver Using Deep Belief Network. IEEE Transactions on Communications. :1-1.
2102.13397.pdf (12.87 MB)
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2021. 