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Mathieu Lagrange

10 papers hereh-index 242.9k citations120 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4
  • last author4

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.SD8
  • eess.AS1
  • stat.ML1
same name
  • Mathieu Lagrange — 10 papers, h 4
  • Mathieu Lagrange — 6 papers, h 4
  • Mathieu Lagrange — 1 paper, h 2
  • Mathieu Lagrange — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedThe bag-of-frames approach: a not so sufficient model for urban soundscapes

22 citations · 43 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.SD2023★ 6 cited

Fitting Auditory Filterbanks with Multiresolution Neural Networks

Vincent Lostanlen, Daniel Haider, Han Han +3

Waveform-based deep learning faces a dilemma between nonparametric and parametric approaches. On one hand, convolutional neural networks (convnets) may approximate any linear time-…

cs.SD2023★ 1 cited

Foley Sound Synthesis at the DCASE 2023 Challenge

Keunwoo Choi, Jaekwon Im, Laurie Heller +5

The addition of Foley sound effects during post-production is a common technique used to enhance the perceived acoustic properties of multimedia content. Traditionally, Foley sound…

cs.SD2023

Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis

Cyrus Vahidi, Han Han, Changhong Wang +3

Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms. Examples of…

cs.SD2023

Perceptual-Neural-Physical Sound Matching

Han Han, Vincent Lostanlen, Mathieu Lagrange

Sound matching algorithms seek to approximate a target waveform by parametric audio synthesis. Deep neural networks have achieved promising results in matching sustained harmonic t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.