activity
20162023
most citedDeep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

1.4k citations · 1.7k across the 26 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.SD2019★ 20 cited

Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization

Vincent Lostanlen, Kaitlin Palmer, Elly Knight +6

This paper proposes to perform unsupervised detection of bioacoustic events by pooling the magnitudes of spectrogram frames after per-channel energy normalization (PCEN). Although…

cs.SD2019

Learning the helix topology of musical pitch

Vincent Lostanlen, Sripathi Sridhar, Brian McFee +2

To explain the consonance of octaves, music psychologists represent pitch as a helix where azimuth and axial coordinate correspond to pitch class and pitch height respectively. Thi…

cs.SD2019★ 21 cited

Adversarial Learning for Improved Onsets and Frames Music Transcription

Jong Wook Kim, Juan Pablo Bello

Automatic music transcription is considered to be one of the hardest problems in music information retrieval, yet recent deep learning approaches have achieved substantial improvem…

cs.SD2019★ 119 cited

Robust sound event detection in bioacoustic sensor networks

Vincent Lostanlen, Justin Salamon, Andrew Farnsworth +2

Bioacoustic sensors, sometimes known as autonomous recording units (ARUs), can record sounds of wildlife over long periods of time in scalable and minimally invasive ways. Deriving…

cs.SD2019★ 49 cited

The life of a New York City noise sensor network

Charlie Mydlarz, Mohit Sharma, Yitzchak Lockerman +3

Noise pollution is one of the topmost quality of life issues for urban residents in the United States. Continued exposure to high levels of noise has proven effects on health, incl…