Articles with public access mandates - Prem SeetharamanLearn more
Available somewhere: 14
VocalSet: A Singing Voice Dataset
J Wilkins, P Seetharaman, A Wahl, B Pardo
Proceedings of the 19th International Society for Music Information …, 2018
Mandates: US National Science Foundation
Simultaneous separation and transcription of mixtures with multiple polyphonic and percussive instruments
E Manilow, P Seetharaman, B Pardo
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandates: US National Science Foundation
The Northwestern University Source Separation Library
E Manilow, P Seetharaman, B Pardo
Proceedings of the 19th International Society for Music Information …, 2018
Mandates: US National Science Foundation
Sound event detection and separation: a benchmark on desed synthetic soundscapes
N Turpault, R Serizel, S Wisdom, H Erdogan, JR Hershey, E Fonseca, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandates: Agence Nationale de la Recherche
Blind Estimation of the Speech Transmission Index for Speech Quality Prediction
P Seetharaman, GJ Mysore, P Smaragdis, B Pardo
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
Mandates: US National Science Foundation
Music/Voice Separation Using the 2D Fourier Transform
P Seetharaman, F Pishdadian, B Pardo
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017
Mandates: US National Science Foundation
Audealize: Crowdsourced Audio Production Tools
P Seetharaman, B Pardo
Journal of the Audio Engineering Society 64 (9), 683-695, 2016
Mandates: US National Science Foundation
Predicting Algorithm Efficacy for Adaptive Multi-Cue Source Separation
E Manilow, P Seetharaman, F Pishdadian, B Pardo
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017
Mandates: US National Science Foundation
SocialFX: Studying a Crowdsourced Folksonomy of Audio Effects Terms
T Zheng, P Seetharaman, B Pardo
Proceedings of the 2016 ACM on Multimedia Conference, 182-186, 2016
Mandates: US National Science Foundation
Simultaneous Separation and Segmentation in Layered Music
P Seetharaman, B Pardo
Proceedings of the 17th International Society for Music Information …, 2016
Mandates: US National Science Foundation
Bootstrapping unsupervised deep music separation from primitive auditory grouping principles
P Seetharaman, G Wichern, J Le Roux, B Pardo
Proc. Workshop Self-Superv. Audio Speech, 2020
Mandates: US National Science Foundation
Automating the detection of dynamically triggered earthquakes via a deep metric learning algorithm
V Tang, P Seetharaman, K Chao, BA Pardo, S Van Der Lee
Seismological Research Letters 91 (2A), 901-912, 2020
Mandates: US National Science Foundation
Classifying Non-Speech Vocals: Deep vs Signal Processing Representations
F Pishdadian, B Kim, P Seetharaman, B Pardo
Proceedings of DCASE 2019, 2019
Mandates: US National Science Foundation
Learning to build natural audio production interfaces
B Pardo, M Cartwright, P Seetharaman, B Kim
Arts 8 (3), 110, 2019
Mandates: US National Science Foundation
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