Juhan Nam
Cited by
Cited by
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
ICML, 2011
Sample-level deep convolutional neural networks for music auto-tagging using raw waveforms
J Lee, J Park, KL Kim, J Nam
SMC, 220-226, 2017
Multi-level and multi-scale feature aggregation using pretrained convolutional neural networks for music auto-tagging
J Lee, J Nam
IEEE signal processing letters 24 (8), 1208-1212, 2017
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.
J Nam, J Ngiam, H Lee, M Slaney
ISMIR, 175-180, 2011
Learning Sparse Feature Representations for Music Annotation and Retrieval.
J Nam, J Herrera, M Slaney, JO Smith III
ISMIR, 565-570, 2012
Samplecnn: End-to-end deep convolutional neural networks using very small filters for music classification
J Lee, J Park, KL Kim, J Nam
Applied Sciences 8 (1), 150, 2018
Sample-level cnn architectures for music auto-tagging using raw waveforms
T Kim, J Lee, J Nam
2018 IEEE international conference on acoustics, speech and signal …, 2018
Systems and methods for audio signal processing
E Visser, L Kim, Y Guo, J Nam
US Patent App. 13/828,415, 2013
Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks.
S Kum, C Oh, J Nam
ISMIR, 819-825, 2016
Alias-suppressed oscillators based on differentiated polynomial waveforms
V Valimaki, J Nam, JO Smith, JS Abel
IEEE Transactions on audio, speech, and language processing 18 (4), 786-798, 2009
Efficient antialiasing oscillator algorithms using low-order fractional delay filters
J Nam, V Valimaki, JS Abel, JO Smith
IEEE transactions on audio, speech, and language processing 18 (4), 773-785, 2009
Comparison and analysis of samplecnn architectures for audio classification
T Kim, J Lee, J Nam
IEEE Journal of Selected Topics in Signal Processing 13 (2), 285-297, 2019
Representation learning of music using artist labels
J Park, J Lee, J Park, JW Ha, J Nam
ISMIR, 717-724, 2018
Raw waveform-based audio classification using sample-level CNN architectures
J Lee, T Kim, J Park, J Nam
NIPS Machine Learning for Audio Signal Processing Workshop, 2017
Deep learning for audio-based music classification and tagging: Teaching computers to distinguish rock from bach
J Nam, K Choi, J Lee, SY Chou, YH Yang
IEEE signal processing magazine 36 (1), 41-51, 2018
A method for estimating interaural time difference for binaural synthesis
J Nam, JS Abel, JO Smith III
Audio Engineering Society Convention 125, 2008
A deep bag-of-features model for music auto-tagging
J Nam, J Herrera, K Lee
arXiv preprint arXiv:1508.04999, 2015
Perceptually informed synthesis of bandlimited classical waveforms using integrated polynomial interpolation
V Välimäki, J Pekonen, J Nam
The Journal of the Acoustical Society of America 131 (1), 974-986, 2012
On the minimum-phase nature of head-related transfer functions
J Nam, MA Kolar, JS Abel
Audio Engineering Society Convention 125, 2008
Acoustic scene classification using sparse feature learning and event-based pooling
K Lee, Z Hyung, J Nam
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
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