Justin Salamon
  • Home
  • News
  • Research
  • Publications
  • Code/Data
  • Melody Extraction
  • PhD Thesis
  • Contact
    • Music
    • Music Technology

2020 IEEE SPS Signal Processing Letters Best Paper Award

14/1/2021

0 Comments

 
I'm thrilled to report that our paper Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification has won a 2020 IEEE SPS Signal Processing Letters Best Paper Award.

The paper appeared in the March 2017 issue of the IEE SPL journal. It was honored for its "exceptional merit and broad interest on a subject related to the Society's technical scope." (To be eligible for consideration, an article must have appeared in Signal Processing Letters within a five-year window.). Here's the NYU press release about the award.

The research was conducted in the context of the Sounds of New York City (SONYC) project:

The paper represents the culmination of several years of research on urban sound, and builds on our earlier work in this area including:
  • A Dataset and Taxonomy for Urban Sound Research
    J. Salamon, C. Jacoby and J. P. Bello, 2014
  • Unsupervised Feature Learning for Urban Sound Classification
    J. Salamon and J. P. Bello, 2015
  • Feature Learning with Deep Scattering for Urban Sound Analysis
    J. Salamon and J. P. Bello, 2015
  • The Implementation of Low-cost Urban Acoustic Monitoring Devices
    C. Mydlarz, J. Salamon and J. P. Bello, 2016

I want to express my sincere gratitude to my colleague and mentor Prof. Juan P. Bello of NYU for the years of fruitful collaboration that led to and made this work possible.

You can read the paper here:

Deep Convolutional Neural Networks and Data Augmentation For Environmental Sound Classification
J. Salamon and J. P. Bello
IEEE Signal Processing Letters, 24(3), pages 279 - 283, 2017.
[IEEE][PDF][BibTeX][Copyright]
Picture
Awkward screenshot of me talking about the work from the SONYC video
0 Comments

Best Student Paper Award at 2017 AES International Conference on Semantic Audio

23/6/2017

0 Comments

 
Picture
I'm excited to report that our paper "Pitch Contours as a Mid-Level Representation for Music Informatics", has won the Best Student Paper Award at the 2017 AES International Conference on Semantic Audio. The paper, led and presented by my colleague Rachel Bittner, proposes a factored architecture for a variety of pitch-informed MIR tasks such predominant and multiple f0 estimation, genre, gender and singing style classification; with pitch contours as a powerful and semantically rich mid-level representation.

So... should all machine learning for music be end-to-end? See what we found in the full paper:

​Pitch Contours as a Mid-Level Representation for Music Informatics
R. M. Bittner, J. Salamon, J. J. Bosch, and J. P. Bello.
In AES Conference on Semantic Audio, Erlangen, Germany, Jun. 2017.
[PDF]
0 Comments

SONYC awarded major grant by the National Science Foundation

7/11/2016

0 Comments

 
I'm extremely excited to report that our 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.

NYU has issued a press release providing further information about the SONYC project and the award. From the NYU press release:
​The project – which involves large-scale noise monitoring – leverages the latest in machine learning technology, big data analysis, and citizen science reporting to more effectively monitor, analyze, and mitigate urban noise pollution. Known as Sounds of New York City (SONYC), this multi-year project has received a $4.6 million grant from the National Science Foundation and has the support of City health and environmental agencies.
Further information about the project project can be found on the SONYC website. You can also check out the SONYC intro video: 
0 Comments

Best Oral Presentation Award at ISMIR 2015

2/11/2015

0 Comments

 
Picture
Our paper "Melody Extraction by Contour Classification", presented by colleague and first author Rachel Bittner, has won the Best Oral Presentation Award at the ISMIR 2015 conference!

A huge congratulations to my co-authors Rachel Bittner, Slim Essid and Juan Pablo Bello, and especially to Rachel for doing such an excellent job at presenting the paper at the conference!

R. Bittner, J. Salamon, S. Essid and J. P. Bello. "Melody Extraction by Contour Classification". Proc. 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, Spain, Oct. 2015.
[ISMIR][PDF][BibTex]

0 Comments

mir_eval wins best poster presentation at ISMIR 2014

30/10/2014

0 Comments

 
Our paper  "mir_eval: A Transparent Implementation of Common MIR Metrics", lead and presented by fearless Colin Raffel has won the Best Poster Presentation Award at the ISMIR 2014 conference!
Picture
Here's the paper's abstract:
Central to the field of MIR research is the evaluation of algorithms used to extract information from music data. We present mir_eval, an open source software library which provides a transparent and easy-to-use implementation of the most common metrics used to measure the performance of MIR algorithms. In this paper, we enumerate the metrics implemented by mir_eval and quantitatively compare each to existing implementations. When the scores reported by mir_eval differ substantially from the reference, we detail the differences in implementation. We also provide a brief overview of mir_eval’s architecture, design, and intended use.

A massive congratulations to comrades Colin, Brian, Eric, Oriol Dawen and Dan for creating this awesome project, and in particular to Colin for leading this initiative and doing a fantastic job at presenting it at ISMIR today!

You can check out mir_eval here: https://github.com/craffel/mir_eval
0 Comments

ESSENTIA wins ACM Multimedia '13 Best Open Source Software Award

31/12/2013

 
ESSENTIA
ESSENTIA is an audio analysis software library developed at the MTG over the past eight years, to which I am proud to have made my small contribution too (through the great effort of Dmitry Bogdanov). 

Recently ESSENTIA was released as open source software, and shortly after won the ACM Multimedia 2013 Best Open Source Award! A massive congratulations to everyone at the MTG who has worked on the library over the years, and especially to Dmitry Bogdanov and Nicolas Wack.

ESSENTIA's first open source release is accompanied with two papers:
  • D. Bogdanov, N. Wack, E. Gómez, S. Gulati, P. Herrera, O. Mayor, G. Roma, J. Salamon, J. Zapata and X. Serra, "ESSENTIA: an Audio Analysis Library for Music Information Retrieval", in Proc. 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, November 2013.
        [ISMIR][PDF][BibTex]
  • D. Bogdanov, N. Wack, E Gómez, S. Gulati, P. Herrera, O. Mayor, G. Roma, J. Salamon, J. Zapata and X. Serra, "ESSENTIA: an Open-Source Library for Sound and Music Analysis", in 21st ACM Int. Conf. on Multimedia, Barcelona, Spain, Oct. 2013.
        [ACM][PDF][BibTex]

    NEWS

    Machine listening research, code, data & hacks!

    Archives

    March 2023
    April 2022
    November 2021
    October 2021
    June 2021
    January 2021
    October 2020
    June 2020
    May 2020
    April 2020
    January 2020
    November 2019
    October 2019
    June 2019
    May 2019
    March 2019
    February 2019
    January 2019
    November 2018
    October 2018
    August 2018
    July 2018
    May 2018
    April 2018
    February 2018
    October 2017
    August 2017
    July 2017
    June 2017
    April 2017
    March 2017
    January 2017
    December 2016
    November 2016
    October 2016
    August 2016
    June 2016
    May 2016
    April 2016
    February 2016
    January 2016
    November 2015
    October 2015
    July 2015
    June 2015
    April 2015
    February 2015
    November 2014
    October 2014
    September 2014
    June 2014
    April 2014
    March 2014
    February 2014
    December 2013
    September 2013
    July 2013
    May 2013
    February 2013
    January 2013
    December 2012
    November 2012
    October 2012
    August 2012
    July 2012
    June 2012

    Categories

    All
    ACM MM'13
    ACM MM'14
    Acoustic Ecology
    Acoustic Event Detection
    Acoustic Sensing
    AES
    Applied Acoustics
    Article
    Audio-annotator
    Audio To Midi
    Auditory Scene Analysis
    Avian
    Award
    Baseball
    Beer
    Best Oral Presentation
    Best Paper Award
    Best Student Paper Award
    BigApps
    Bioacoustics
    BirdVox
    Book
    Chapter
    CHI
    Citizen Science
    Classification
    Computer Vision
    Conference
    Connected Cities
    Convolutional Neural Networks
    Cornell Lab Of Ornithology
    Coursera
    Cover Detection
    CREPE
    Crowdcrafting
    Crowdsourcing
    CUSP
    CVPR
    Data Augmentation
    Data Science
    Dataset
    Data Structures
    Dcase
    Deep Learning
    Domain
    Education
    Entrepreneurship
    Environmental Sound
    Essentia
    Eusipco
    Eusipco2015
    Evaluation
    Few-shot Learning
    Flight Calls
    Girl Scouts
    Grant
    Hackathon
    Hackday
    Hackfest
    HCI
    Hildegard Von Bingen
    ICASSP
    ICASSP 2020
    IEEE Signal Processing Letters
    Ieee Spm
    Indian Classical Music
    Interface
    Interspeech
    Interview
    Ismir 2012
    Ismir2014
    Ismir2015
    Ismir2016
    Ismir2017
    Ismir2020
    ITP
    Jams
    Javascript
    JNMR
    Journal
    Machine Learning
    Machine Listening
    Map
    Media
    Melodia
    Melody Extraction
    Metric Learning
    Midi
    Migration Monitoring
    MIR
    Mir_eval
    MOOC
    MTG-QBH
    Music Informatics
    Music Information Retrieval
    Music Similarity
    National Science Foundation
    Neumerator
    New York Times
    Noise Pollution
    Notebook
    NPR
    NSF
    NYC
    NYU
    Open Source
    Pitch
    Pitch Contours
    Pitch Tracking
    Plos One
    Plug In
    Plug-in
    Presentation
    Press
    PRI
    Prosody
    Publication
    Python
    Query By Humming
    Query-by-humming
    Radio
    Representation Learning
    Research
    Robots
    Scaper
    Science And The City
    Science Friday
    Self-supervision
    Sensor Network
    Sensors
    Sight And Sound Workshop
    Smart Cities
    Software
    SONYC
    Sound Classification
    Sound Education
    Sound Event Detection
    Soundscape
    Sounds Of New York City
    Sound Workshop
    Speech
    STEM
    Synthesis
    Taste Of Science
    Taxonomy
    Technical Report
    Time Series
    Tonic ID
    Tony
    Tutorial
    Unsupervised Feature Learning
    Urban
    Urban Sound Analysis
    Urban Sound Tagging
    Vamp
    Version Identification
    Visualization
    Vocaloid
    Vocoder
    Warblers
    Wav To Midi
    Welcome
    Wired
    WNYC
    Women In Science
    Workshop
    World Domination
    Wsf14
    Youtube

    RSS Feed

Powered by Create your own unique website with customizable templates.
  • Home
  • News
  • Research
  • Publications
  • Code/Data
  • Melody Extraction
  • PhD Thesis
  • Contact
    • Music
    • Music Technology