Mark Cartwright

Orcid: 0000-0002-5908-390X

Affiliations:
  • New Jersey Institute of Technology, Newark, NJ, USA
  • New York University, Music and Audio Research Laboratory, NY, USA


According to our database1, Mark Cartwright authored at least 38 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Multi-label Open-set Audio Classification.
CoRR, 2023

A General Framework for Learning Procedural Audio Models of Environmental Sounds.
CoRR, 2023

Does a Quieter City Mean Fewer Complaints? The Sounds of New York City During Covid-19 Lockdown.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Eliciting Confidence for Improving Crowdsourced Audio Annotations.
Proc. ACM Hum. Comput. Interact., 2022

Urban Rhapsody: Large-scale exploration of urban soundscapes.
Comput. Graph. Forum, 2022

Active Few-Shot Learning for Sound Event Detection.
Proceedings of the Interspeech 2022, 2022

A Study on Robustness to Perturbations for Representations of Environmental Sound.
Proceedings of the 30th European Signal Processing Conference, 2022

How people who are deaf, Deaf, and hard of hearing use technology in creative sound activities.
Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 2022

2021
Who Calls The Shots? Rethinking Few-Shot Learning for Audio.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Specialized Embedding Approximation for Edge Intelligence: A Case Study in Urban Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Few-Shot Continual Learning for Audio Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

MONYC: Music of New York City Dataset.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
Few-shot Drum Transcription in Polyphonic Music.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research.
IEEE Signal Process. Mag., 2019

Per-Channel Energy Normalization: Why and How.
IEEE Signal Process. Lett., 2019

Tricycle: Audio Representation Learning from Sensor Network Data Using Self-Supervision.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Voice Anonymization in Urban Sound Recordings.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

EdgeL^3: Compressing L^3-Net for Mote Scale Urban Noise Monitoring.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

SONYC Urban Sound Tagging (SONYC-UST): A Multilabel Dataset from an Urban Acoustic Sensor Network.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Machine-Crowd-Expert Model for Increasing User Engagement and Annotation Quality.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Crowdsourcing Multi-label Audio Annotation Tasks with Citizen Scientists.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Investigating the Effect of Sound-Event Loudness on Crowdsourced Audio Annotations.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Crowdsourced Pairwise-Comparison for Source Separation Evaluation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Seeing Sound: Investigating the Effects of Visualizations and Complexity on Crowdsourced Audio Annotations.
Proc. ACM Hum. Comput. Interact., 2017

Scaper: A library for soundscape synthesis and augmentation.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

2016
Fast and easy crowdsourced perceptual audio evaluation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An Approach to Audio-Only Editing for Visually Impaired Seniors.
Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, 2016

2015
VocalSketch: Vocally Imitating Audio Concepts.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
SynthAssist: Querying an Audio Synthesizer by Vocal Imitation.
Proceedings of the 14th International Conference on New Interfaces for Musical Expression, 2014

SynthAssist: an audio synthesizer programmed with vocal imitation.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

MIXPLORATION: rethinking the audio mixer interface.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

2013
Social-EQ: Crowdsourcing an Equalization Descriptor Map.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2012
Novelty measures as cues for temporal salience in audio similarity.
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies, 2012

2011
Making Searchable Melodies: Human versus Machine.
Proceedings of the Human Computation, 2011

2007
Rage in Conjunction with the Machine.
Proceedings of the Seventh International Conference on New Interfaces for Musical Expression, 2007


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