Justin Salamon
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Can the Internet of Things & AI Solve Urban Noise?

26/4/2017

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New York City is a loud place. In fact, 9 of 10 adults in NYC are exposed to harmful levels of noise, which can lead to sleep loss, hearing loss and even heart disease. Can anything be done about it? The SONYC research project combines internet of things sensing technology, machine learning, data science and citizen science to tackle noise pollution head on at city scale. Come hear about a sensor that can recognize sounds like a human and how we plan to use it to improve quality of life in NYC.

The talk will be followed by my colleague and astrophysicist Federica Bianco with her talk:
​Twinkle twinkle little city-light!

When: Wednesday, April 26, 2017, 7:30pm  10:00pm
Where:  SingleCut Beersmiths, 19-33 37th Street NY, 11105 United States (map)
Registration: https://tasteofscience.org/ny-events/thescientificcity
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Pitch Analysis for Active Music Discovery @ ICML 2016

23/6/2016

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Today I'll be giving an invited talk at the Machine Learning for Music Discovery Workshop as part of the ICML 2016 conference.

The talk is about Pitch Analysis for Active Music Discovery:

A significant proportion of commercial music is comprised of pitched content: a melody, a bass line, a famous guitar solo, etc. Consequently, algorithms that are capable of extracting and understanding this type of pitched content open up numerous opportunities for active music discovery, ranging from query-by-humming to musical-feature-based exploration of Indian art music or recommendation based on singing style. In this talk I will describe some of my work on algorithms for pitch content analysis of music audio signals and their application to music discovery, the role of machine learning in these algorithms, and the challenge posed by the scarcity of labeled data and how we may address it.

And here's the extended abstract:

Pitch Analysis for Active Music Discovery
J. Salamon
Machine Learning for Music Discovery workshop, International Conference on Machine Learning (ICML), invited talk, New York City, NY, USA, June 2016.
[PDF]

The workshop has a great program lined up, if your'e attending ICML 2016 be sure to drop by!

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Melody Extraction Talk at Spotify Monthly Music Hackathon

22/6/2015

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On Saturday June 20th I gave a talk about melody extraction at the Monthly Music Hackathon NYC hosted by Spotify's NYC office. The talk, titled "Melody Extraction: Algorithms and Applications in Music Informatics", provided a bird's eye view of my work on melody extraction, including the Melodia algorithm and a number of applications such as query-by-humming, cover song ID, genre classification, automatic transcription and tonic identification in Indian classical music (all of which are mention in my melody extraction page and in greater detail in my PhD thesis).

In addition to my own talk, we had fantastic talks by NYU's Uri Nieto, Rachel Bittner, Eric Humphrey and Ethan Hein. A big thanks to Jonathan Marmor for organization such an awesome day!

Oh, we also had a lot of fun working on our hack later on in the day: The Neumerator!
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