In the segment we discuss our latest work on automatic bird species classification from flight call recordings captured with acoustic sensors for bioacoustics migration monitoring.
You can listen to the BirdVox segment here.
On Friday June 24th the popular Science Friday radio show featured a segment about our BirdVox project. The segment included sound bites from fellow BirdVox researcher Andrew Farnsworth and myself, followed by a live interview with Juan Pablo Bello.
In the segment we discuss our latest work on automatic bird species classification from flight call recordings captured with acoustic sensors for bioacoustics migration monitoring. You can listen to the BirdVox segment here.
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The urban sound environment of New York City (NYC) can be, amongst other things: loud, intrusive, exciting and dynamic. As indicated by the large majority of noise complaints registered with the NYC 311 information/complaints line, the urban sound environment has a profound effect on the quality of life of the city’s inhabitants. To monitor and ultimately understand these sonic environments, a process of long-term acoustic measurement and analysis is required. The traditional method of environmental acoustic monitoring utilizes short term measurement periods using expensive equipment, setup and operated by experienced and costly personnel. In this paper a different approach is pro- posed to this application which implements a smart, low-cost, static, acoustic sensing device based around consumer hardware. These devices can be deployed in numerous and varied urban locations for long periods of time, allowing for the collection of longitudinal urban acoustic data. The varied environmental conditions of urban settings make for a challenge in gathering calibrated sound pressure level data for prospective stakeholders. This paper details the sensors’ design, development and potential future applications, with a focus on the calibration of the devices’ Microelectromechanical systems (MEMS) microphone in order to generate reliable decibel levels at the type/class 2 level. For further details see our paper: The Implementation of Low-cost Urban Acoustic Monitoring Devices C. Mydlarz, J. Salamon and J. P. Bello Applied Acoustics, special issue on Acoustics for Smart Cities, 2016. [Elsevier][PDF] This paper is part of the SONYC project. Hot off the press: SONYC is an NYC BigApps finalist! Two weeks ago we pitched the SONYC project at the BigApps semifinals. The results have just been announced, and we're excited to report that SONYC has made it to the BigApps finals in the Connected Cities category! The event will take place on December 2nd at the Brooklyn Academy of Music (BAM). Each team will pitch their project in front of a panel of judges, and there will also be time for Q&A and demos. The event will close with the BigApps Award Ceremony, during which the winner in each category will be announced. To learn more about the SONYC project have a look at the video below. Further information, including a list of academic publications, is available on the SONYC website. Over the past two years I've been working together with a fantastic team of researchers on the SONYC: Sounds of New York City project. Check out our new video!
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; and (4) enabling city agencies to take effective, information-driven action for noise mitigation. Noise pollution is one of the topmost quality of life issues for urban residents in the United States. It has been estimated that 9 out of 10 adults in New York City (NYC) are exposed to excessive noise levels, i.e. beyond the limit of what the EPA considers to be harmful. When applied to U.S. cities of more than 4 million inhabitants, such estimates extend to over 72 million urban residents. To learn more about the SONYC project please check out the project website: wp.nyu.edu/sonyc To read our publications on automatic urban sound classification as well as the development of low-cost, high-quality acoustic sensors, check out the project's publication page: wp.nyu.edu/sonyc/publications |
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