World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10835
World Ranking
7441
National Ranking
3241

Overview

Justin Salamon is affiliated with Adobe Systems in the United States and focuses on research primarily within the field of Computer Science. Their work concentrates heavily on subfields such as Signal Processing, Developmental Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, and Ecological Modeling.

Their research topics include Music and Audio Processing, Animal Vocal Communication and Behavior, Speech and Audio Processing, Music Technology and Sound Studies, Species Distribution and Climate Change, Speech Recognition and Synthesis, and Marine animal studies overview.

Salamon has published numerous papers across various venues, with a strong presence in repositories and conferences devoted to scientific dissemination such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), the Journal of Applied Ecology, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the IEEE/ACM Transactions on Audio Speech and Language Processing.

Notable recent publications include:

  • HEAR: Holistic Evaluation of Audio Representations (2022) - arXiv (Cornell University)
  • Automated acoustic monitoring captures timing and intensity of bird migration (2022) - Journal of Applied Ecology
  • Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes (2020) - arXiv (Cornell University)
  • SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context (2020) - arXiv (Cornell University)
  • It's Time for Artistic Correspondence in Music and Video (2022) - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent collaborators include Juan Pablo Bello, Vincent Lostanlen, Andrew Farnsworth, Nicholas J. Bryan, and Aurora Cramer, reflecting active partnerships within interdisciplinary and technical domains.

Salamon's publication record demonstrates a consistent focus on audio and sound data analysis. The topics extend into ecological applications, such as monitoring of animal vocalizations and bird migration timing, intersecting technology development with biological and environmental monitoring.

Their work in signal processing and computer vision supports advancements in audio representation evaluation, sound event detection, and synthetic soundscape benchmarks, contributing to broader efforts in artificial intelligence and ecological modeling.

Best Publications

  • Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

    Justin Salamon;Juan Pablo Bello

  • A Dataset and Taxonomy for Urban Sound Research

    Justin Salamon;Christopher Jacoby;Juan Pablo Bello

  • Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics

    J. Salamon;E. Gomez

  • Essentia: An Audio Analysis Library for Music Information Retrieval.

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • MIR_EVAL: A Transparent Implementation of Common MIR Metrics.

    Colin Raffel;Brian McFee;Eric J. Humphrey;Justin Salamon

  • MedleyDB: A MULTITRACK DATASET FOR ANNOTATION-INTENSIVE MIR RESEARCH

    Rachel M. Bittner;Justin Salamon;Mike Tierney;Matthias Mauch

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Look, Listen, and Learn More: Design Choices for Deep Audio Embeddings

    Jason Cramer;Ho-Hsiang Wu;Justin Salamon;Juan Pablo Bello

  • Crepe: A Convolutional Representation for Pitch Estimation

    Jong Wook Kim;Justin Salamon;Peter Li;Juan Pablo Bello

  • Unsupervised feature learning for urban sound classification

    Justin Salamon;Juan Pablo Bello

  • Sound event detection in domestic environments with weakly labeled data and soundscape synthesis

    Nicolas Turpault;Romain Serizel;Ankit Parag Shah;Justin Salamon

  • SONYC: a system for monitoring, analyzing, and mitigating urban noise pollution

    Juan P. Bello;Claudio Silva;Oded Nov;R. Luke Dubois

  • Scaper: A library for soundscape synthesis and augmentation

    Justin Salamon;Duncan MacConnell;Mark Cartwright;Peter Li

  • Deep Salience Representations for F0 Estimation in Polyphonic Music.

    Rachel M. Bittner;Brian McFee;Justin Salamon;Peter Li

  • Adaptive Pooling Operators for Weakly Labeled Sound Event Detection

    Brian McFee;Justin Salamon;Juan Pablo Bello

  • The implementation of low-cost urban acoustic monitoring devices

    Charlie Mydlarz;Justin Salamon;Juan Pablo Bello

  • Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency

    M Mauch;C Cannam;R Bittner;G Fazekas

  • ESSENTIA: an open-source library for sound and music analysis

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring.

    Justin Salamon;Juan Pablo Bello;Andrew Farnsworth;Matt Robbins

  • Feature learning with deep scattering for urban sound analysis

    Justin Salamon;Juan Pablo Bello

Frequent Co-Authors

Juan Pablo Bello
Juan Pablo Bello New York University
Emilia Gómez
Emilia Gómez Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Hakan Erdogan
Hakan Erdogan Google (United States)
Oded Nov
Oded Nov New York University
John R. Hershey
John R. Hershey Google (United States)
Cláudio T. Silva
Cláudio T. Silva New York University
Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Bryan C. Russell
Bryan C. Russell Adobe Systems (United States)

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