An overview article describing the SONYC project has been accepted for publication in Communications of the ACM:
SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution
J. P. Bello, C. Silva, O. Nov, R. L. DuBois, A. Arora, J. Salamon, C. Mydlarz, H. Doraiswamy
Communications of the ACM (CACM), In press, 2018.
Continue reading “SONYC overview article to appear in Communications of the ACM”
We’re glad to announce the release of two open-source tools and a new dataset developed as part of the SONYC project we hope will be of use to the community:
Continue reading “New Tools & Data for Soundscape Synthesis and Online Audio Annotation”
This chapter introduces the concept of smart cities and discusses the importance of sound as a source of information about urban life. It describes a wide range of applications for the computational analysis of urban sounds and focuses on two high-impact areas, audio surveillance, and noise pollution monitoring, which sit at the intersection of dense sensor networks and machine listening. For sensor networks we focus on the pros and cons of mobile versus static sensing strategies, and the description of a low-cost solution to acoustic sensing that supports distributed machine listening. For sound event detection and classification we focus on the challenges presented by this task, solutions including feature design and learning strategies, and how a combination of convolutional networks and data augmentation result in the current state of the art. We close with a discussion about the potential and challenges of mobile sensing, the limitations imposed by the data currently available for research, and a few areas for future exploration.
Sound analysis in smart cities
J. P. Bello, C. Mydlarz, and J. Salamon.
In T. Virtanen, M. D. Plumbley, and D. P. W. Ellis, editors, Computational Analysis of Sound Scenes and Events, pages 373–397. Springer International Publishing, 2018.
[Springer][PDF][BibTeX]
Our paper “Deep Convolutional Neural Networks and Data Augmentation For Environmental Sound Classification” has been accepted for publication in IEEE Signal Processing Letters.
SONYC Lead-PI Juan Pablo Bello and Senior Research Scientist Justin Salamon appeared on FOX 5 NY’s feature segment on Wednesday November 30th to talk about the project.
The full segment can be viewed online here: http://www.fox5ny.com/news/220739261-story
Continue reading “Juan Pablo Bello and Justin Salamon discuss SONYC on FOX 5 News”
The SONYC project, a research initiative bringing together researchers from MARL, Tandon, CUSP and OSU, is in the news these days, with articles popping up in The New York Times, WNYC, Wired (Italy), NextCity, New York Business Journal and Laboratory Equipment. The project is launching the first phase of a 5 year program with the goal of changing the way noise pollution is monitored and analyzed in New York City. Using a network of microphones to record the various breeds of urban annoyances, Juan Pablo Bello and his team are creating novel technologies for the automatic identification of sound sources throughout the city.
The project has received a generous $4.6 million grant from the National Science Foundation, and there’s a lot of excitement around its agenda from New Yorkers that know too well the agony that is noise pollution. For more information on the team and the technology involved, see NYU’s press release and the SONYC website.
SONYC is hiring!
Interested in cutting-edge research in cyber-physical systems, urban informatics, data science, machine listening, citizen science, digital media or the internet of things? Are you skilled, self-motivated and able to successfully work in teams? are you interested in doing work that can contribute to addressing one of the most important quality-of-life issues for urban citizens worldwide?
The Sounds of New York City (SONYC) project has been granted a Frontier award from the National Science Foundation (NSF) as part of its initiative to advance research in cyber-physical systems as detailed in the NSF’s press release.
Continue reading “SONYC awarded major grant from the National Science Foundation (NSF)”
The Music Technology Program of New York University is inviting applications for a PhD research assistantship in the area of Machine Listening to start in Fall of 2016. The position, based at the Music and Audio Research Laboratory (MARL), is for research on the application of audio signal processing and machine learning techniques to the automatic analysis of urban sound scenes. The work is part of the SONYC project, and will be supervised by Juan Pablo Bello.
Continue reading “PhD fellowship on Machine Listening at MARL”
Applications are invited for a postdoctoral associate position to join NYU’s MARL. The focus of the position is flexible and intended to contribute research in both environmental sound and music analysis. We’re looking for someone with expertise in one or more of the following areas: audio signal processing, music information retrieval, bio-acoustics, machine learning and/or data science. The successful candidate will contribute to collaborations between researchers at NYU, and partners in the Cornell Lab of Ornithology, Ohio State University and NYU Abu Dhabi. This is an annual term appointment with the possibility of renewal for a second year, with a starting salary of US$70k. The position is based in New York City.
Continue reading “JOIN OUR PROJECT – POSTDOCTORAL POSITION OPEN”
