most citedSONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

31 citations · 51 across the 3 of their papers we have counts for

collaborators

6 papers

eess.AS2020

Helicality: An Isomap-based Measure of Octave Equivalence in Audio Data

Sripathi Sridhar, Vincent Lostanlen

Octave equivalence serves as domain-knowledge in MIR systems, including chromagram, spiral convolutional networks, and harmonic CQT. Prior work has applied the Isomap manifold lear…

cs.SD202031 cited

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

Mark Cartwright, Jason Cramer, Ana Elisa Mendez Mendez +9

We present SONYC-UST-V2, a dataset for urban sound tagging with spatiotemporal information. This dataset is aimed for the development and evaluation of machine listening systems fo…

cs.SD2020

One or Two Components? The Scattering Transform Answers

Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello

With the aim of constructing a biologically plausible model of machine listening, we study the representation of a multicomponent stationary signal by a wavelet scattering network.…

cs.SD201920 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

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…