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ORCIDRachel M. Bittner
Person information
- affiliation: Spotify, New York, NY, USA
- affiliation (PhD): New York University, Music Technology and Digital Signal Processing, USA
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2020 – today
- 2023
[i11]Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner:
LLark: A Multimodal Foundation Model for Music. CoRR abs/2310.07160 (2023)- 2022
- [c25]Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello
:
Few-Shot Musical Source Separation. ICASSP 2022: 121-125 - [c24]Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert:
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation. ICASSP 2022: 781-785 - [e1]Preeti Rao, Hema A. Murthy, Ajay Srinivasamurthy, Rachel M. Bittner, Rafael Caro Repetto, Masataka Goto, Xavier Serra, Marius Miron:
Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022. 2022, ISBN 978-1-7327299-2-6 [contents] - [i10]Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert:
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation. CoRR abs/2203.09893 (2022) - [i9]Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello:
Few-Shot Musical Source Separation. CoRR abs/2205.01273 (2022) - [i8]Meinard Müller, Rachel M. Bittner, Juhan Nam:
Deep Learning and Knowledge Integration for Music Audio Analysis (Dagstuhl Seminar 22082). Dagstuhl Reports 12(2): 103-133 (2022) - 2021
- [j3]Furkan Yesiler, Guillaume Doras, Rachel M. Bittner, Christopher J. Tralie, Joan Serrà:
Audio-Based Musical Version Identification: Elements and challenges. IEEE Signal Process. Mag. 38(6): 115-136 (2021) - [i7]Andreas Jansson, Rachel M. Bittner, Nicola Montecchio, Tillman Weyde:
Learned complex masks for multi-instrument source separation. CoRR abs/2103.12864 (2021) - [i6]Furkan Yesiler, Guillaume Doras, Rachel M. Bittner, Christopher J. Tralie, Joan Serrà:
Audio-based Musical Version Identification: Elements and Challenges. CoRR abs/2109.02472 (2021) - [i5]Magdalena Fuentes, Justin Salamon, Pablo Zinemanas, Martín Rocamora, Genís Paja, Irán R. Román, Rachel M. Bittner, Marius Miron, Xavier Serra, Juan Pablo Bello:
Soundata: A Python library for reproducible use of audio datasets. CoRR abs/2109.12690 (2021) - [i4]Rachel M. Bittner, Katherine Pasalo, Juan José Bosch, Gabriel Meseguer-Brocal, David Rubinstein:
vocadito: A dataset of solo vocals with f0, note, and lyric annotations. CoRR abs/2110.05580 (2021) - 2020
- [c23]Gabriel Meseguer-Brocal, Rachel M. Bittner, Simon Durand, Brian Brost:
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations. ISMIR 2020: 255-262 - [i3]Gabriel Meseguer-Brocal, Rachel M. Bittner, Simon Durand, Brian Brost:
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations. CoRR abs/2008.02069 (2020)
2010 – 2019
- 2019
- [j2]Eric J. Humphrey, Sravana Reddy, Prem Seetharaman, Aparna Kumar, Rachel M. Bittner, Andrew M. Demetriou, Sankalp Gulati, Andreas Jansson, Tristan Jehan, Bernhard Lehner, Anna M. Kruspe, Luwei Yang:
An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music. IEEE Signal Process. Mag. 36(1): 82-94 (2019) - [j1]Brian McFee, Jong Wook Kim, Mark Cartwright, Justin Salamon, Rachel M. Bittner, Juan Pablo Bello:
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research. IEEE Signal Process. Mag. 36(1): 128-137 (2019) - [c22]Andreas Jansson, Rachel M. Bittner, Sebastian Ewert, Tillman Weyde:
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO 2019: 1-5 - [c21]Jong Wook Kim, Rachel M. Bittner, Aparna Kumar, Juan Pablo Bello:
Neural Music Synthesis for Flexible Timbre Control. ICASSP 2019: 176-180 - [c20]Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell:
mirdata: Software for Reproducible Usage of Datasets. ISMIR 2019: 99-106 - [c19]Rachel M. Bittner, Juan J. Bosch:
Generalized Metrics for Single-f0 Estimation Evaluation. ISMIR 2019: 738-745 - 2018
- [c18]Qingyang Xi, Rachel M. Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello:
GuitarSet: A Dataset for Guitar Transcription. ISMIR 2018: 453-460 - [c17]Andrew M. Demetriou, Andreas Jansson, Aparna Kumar, Rachel M. Bittner:
Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners. ISMIR 2018: 514-520 - [i2]Rachel M. Bittner, Brian McFee, Juan Pablo Bello:
Multitask Learning for Fundamental Frequency Estimation in Music. CoRR abs/1809.00381 (2018) - [i1]Jong Wook Kim, Rachel M. Bittner, Aparna Kumar, Juan Pablo Bello:
Neural Music Synthesis for Flexible Timbre Control. CoRR abs/1811.00223 (2018) - 2017
- [c16]Rachel M. Bittner, Avery Wang, Juan Pablo Bello:
Pitch contour tracking in music using Harmonic Locked Loops. ICASSP 2017: 191-195 - [c15]Maria Panteli, Rachel M. Bittner, Juan Pablo Bello, Simon Dixon:
Towards the characterization of singing styles in world music. ICASSP 2017: 636-640 - [c14]Rachel M. Bittner, Brian McFee, Justin Salamon, Peter Li, Juan Pablo Bello:
Deep Salience Representations for F0 Estimation in Polyphonic Music. ISMIR 2017: 63-70 - [c13]Justin Salamon, Rachel M. Bittner, Jordi Bonada, Juan J. Bosch, Emilia Gómez, Juan Pablo Bello:
An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets. ISMIR 2017: 71-78 - [c12]Rachel M. Bittner, Minwei Gu, Gandalf Hernandez, Eric J. Humphrey, Tristan Jehan, Hunter McCurry, Nicola Montecchio:
Automatic Playlist Sequencing and Transitions. ISMIR 2017: 442-448 - [c11]Eric J. Humphrey, Nicola Montecchio, Rachel M. Bittner, Andreas Jansson, Tristan Jehan:
Mining Labeled Data from Web-Scale Collections for Vocal Activity Detection in Music. ISMIR 2017: 709-715 - [c10]Andreas Jansson, Eric J. Humphrey, Nicola Montecchio, Rachel M. Bittner, Aparna Kumar, Tillman Weyde:
Singing Voice Separation with Deep U-Net Convolutional Networks. ISMIR 2017: 745-751 - [c9]Rachel M. Bittner, Justin Salamon, Juan J. Bosch, Juan Pablo Bello:
Pitch Contours as a Mid-Level Representation for Music Informatics. Semantic Audio 2017 - 2016
- [c8]Juan J. Bosch, Rachel M. Bittner, Justin Salamon, Emilia Gómez:
A Comparison of Melody Extraction Methods Based on Source-Filter Modelling. ISMIR 2016: 571-577 - 2015
- [c7]Thomas Prätzlich, Rachel M. Bittner, Antoine Liutkus, Meinard Müller:
Kernel Additive Modeling for interference reduction in multi-channel music recordings. ICASSP 2015: 584-588 - [c6]Jonathan P. Forsyth, Rachel M. Bittner, Michael Musick, Juan Pablo Bello:
Improving and Adapting Finite State Transducer Methods for Musical Accompaniment. ICMC 2015 - [c5]Michael Musick, Jonathan P. Forsyth, Rachel M. Bittner:
Building a Harmonically Ecosystemic Machine: Combining Sonic Ecosystems with Models of Contemporary Harmonic Language. ICMC 2015 - [c4]Rachel M. Bittner, Justin Salamon, Slim Essid, Juan Pablo Bello:
Melody Extraction by Contour Classification. ISMIR 2015: 500-506 - 2014
- [c3]Rachel M. Bittner, Durand R. Begault:
Signal processing methods for removing the effects of whole-body vibration upon speech. ICASSP 2014: 930-934 - [c2]Rachel M. Bittner, Justin Salamon, Mike Tierney, Matthias Mauch, Chris Cannam, Juan Pablo Bello:
MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research. ISMIR 2014: 155-160 - [c1]Eric J. Humphrey, Justin Salamon, Oriol Nieto, Jon Forsyth, Rachel M. Bittner, Juan Pablo Bello:
JAMS: A JSON Annotated Music Specification for Reproducible MIR Research. ISMIR 2014: 591-596
Coauthor Index
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