Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions
Aaron Ng, Rishabh Mehrotra
Audio Intelligence
24 publications
September 2020 | RecSys
August 2020 | ISMIR - International Society for Music Information Retrieval Conference
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost
July 2020 | IJCAI - International Joint Conference on Artificial Intelligence
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Daniel Stoller, Mi Tian, Sebastian Ewert, and Simon Dixon
July 2020 | WCCI/IJCNN - IEEE World Congress on Computational Intelligence / International Joint Conference on Neural Networks
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso
November 2019 | ISMIR
mirdata: Software for Reproducible Usage of Datasets
Rachel M Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell
November 2019 | ISMIR
Generalized Metrics for Single-F0 Estimation Evaluation
Rachel M. Bittner, Juan J Bosch
October 2019 | ACM MM - ACM International Conference on Multimedia
Towards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models
Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso
September 2019 | EUSIPCO
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures
Andreas Jansson, Rachel M Bittner, Sebastian Ewert, Tillman Weyde
July 2019 | ICASSP
End-to-End Lyrics Alignment for Polyphonic Music Using An Audio-to-Character Recognition Model
Daniel Stoller, Simon Durand, Sebastian Ewert
May 2019 | ICASSP
Neural Music Synthesis for Flexible Timbre Control
Jong Wook Kim, Rachel Bittner, Aparna Kumar, Juan Pablo Bello
January 2019 | IEEE Signal Processing Magazine
An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music
Eric J. Humphrey, Sravana Reddy, Prem Seetharaman, Aparna Kumar, Rachel M. Bittner, Andrew Demetriou, Sankalp Gulati, Andreas Jansson, Tristan Jehan, Bernhard Lehner, Anna Krupse, Luwei Yang
January 2019 | IEEE Signal Processing Magazine
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research
Brian McFee, Jong Wook Kim, Mark Cartwright, Justin Salamon, Rachel M Bittner, Juan Pablo Bello
January 2019 | IEEE Signal Processing Magazine
Automatic Music Transcription – An Overview
Emmanouil Benetos, Simon Dixon, Zhiyao Duan, Sebastian Ewert
January 2019 | IEEE Signal Processing Magazine
Deep Learning for Audio-Based Music Classification and Tagging
Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yu-Hsuan Yang
September 2018 | ISMIR
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller, Sebastian Ewert, Simon Dixon.
September 2018 | ISMIR
Revisiting Singing Voice Detection: A Quantitative Review and the Future Outlook
Kyungyun Lee, Keunwoo Choi, Juhan Nam
September 2018 | ISMIR
OpenMIC-2018: an Open Dataset for Multiple Instrument Recognition
Eric J. Humphrey, Simon Durand, Brian McFee
July 2018 | ICASSP
Shift-Invariant Kernel Additive Modelling for Audio Source Separation
Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler
July 2018 | ICASSP
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
Daniel Stoller, Sebastian Ewert, Simon Dixon
July 2018 | LVA/ICA
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
Daniel Stoller, Sebastian Ewert, Simon Dixon