Sounds of New York City

Sounds of New York City

SONYC

Researchers

Juan Pablo Bello, Anish Arora, R. Luke DuBois, Oded Nov, Claudio Silva, Harish Doraiswamy, Charlie Mydlarz, Justin Salamon, Mohit Sharma, Mark Cartwright, Yitzchak Lockerman, Peter Li, Fabio Miranda, Dhrubojyoti Roy, Ayanna Seals

Overview

The objectives of SONYC are to create technological solutions for:

  1. the systematic, constant monitoring of noise pollution at city scale

  2. the accurate description of acoustic environments in terms of its composing sources

  3. broadening citizen participation in noise reporting and mitigation

  4. enabling city agencies to take effective, information-driven action for noise mitigation.

Visit the SONYC homepage to learn more about the project.

Related Papers

[pdf] Cartwright, M., Mendez, A.E.M., Cramer, J., Lostanlen, V., Dove, G., Wu, H., Salamon, J., Nov, O., Bello, J.P. SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network. In Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) , 2019.

[pdf] Cartwright, M., Cramer, J., Salamon, J., Bello, J.P. TriCycle: Audio Representation Learning from Sensor Network Data Using Self-Supervision. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019.

[pdf] Cohen-Hadria, A., Cartwright, M., McFee, B., Bello, J.P. Voice Anonymization in Urban Sound Recordings. In Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) , 2019.

[pdf] Kumari, S., Roy, D., Cartwright, M., Bello, J.P., Arora, A. EdgeL3: Compressing L3-Net for Mote Scale Urban Noise Monitoring. In Proceedings of the Workshop on Parallel AI and Systems for the Edge (PAISE), 2019.

[pdf] Wang, Y., Mendez, A.E.M., Cartwright, M., Bello, J.P. Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.

[pdf] Mendez, A.E.M., Cartwright, M., Bello, J.P. Machine-Crowd-Expert Model for Increasing User Engagement and Annotation Quality. In Proceedings of ACM CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 2019.

[pdf] Cartwright, M., Dove, G., Mendez, A.E.M., Bello, J.P., Nov, O. Crowdsourcing Multi-label Audio Annotation Tasks with Citizen Scientists. In Proceedings of ACM Conference on Human Factors in Computing Systems (CHI), 2019.

[pdf] [poster] Cartwright, M., Salamon, J., Seals, A., Nov, O., Bello, J.P. Investigating the Effect of Sound-Event Loudness on Crowdsourced Audio Annotations. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

[pdf] [companion site] Cartwright, M., Seals, A., Salamon, J., Williams, A., Mikloska, S., MacConnell, D., Law, E., Bello, J.P., Nov, O. Seeing Sound: Investigating the Effects of Visualizations and Complexity on Crowdsourced Audio Annotations. In Proceedings of the ACM on Human-Computer Interaction, vol. 1(1): Computer-Supported Cooperative Work and Social Computing 2017, 2017.

[pdf] Salamon, J., MacConnell, D., Cartwright, M., Li, P., Bello, J.P. Scaper: A Library for Soundscape Synthesis and Augmentation. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017.