Modan Tailleur
YOU?
Author Swipe
View article: Extreme Metal Vocals Dataset (EMVD)
Extreme Metal Vocals Dataset (EMVD) Open
Extreme Metal Vocals Dataset (EMVD) Version 1.1, December 2025 Publication If using this data in an academic work, please reference the DOI and version, as well as cite the following paper, which presented the data collection procedure and…
View article: Extreme Metal Vocals Dataset (EMVD)
Extreme Metal Vocals Dataset (EMVD) Open
Extreme Metal Vocals Dataset (EMVD) Version 1.1, December 2025 Publication If using this data in an academic work, please reference the DOI and version, as well as cite the following paper, which presented the data collection procedure and…
View article: Sound Scene Synthesis at the DCASE 2024 Challenge
Sound Scene Synthesis at the DCASE 2024 Challenge Open
This paper presents Task 7 at the DCASE 2024 Challenge: sound scene synthesis. Recent advances in sound synthesis and generative models have enabled the creation of realistic and diverse audio content. We introduce a standardized evaluatio…
View article: Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation Open
Despite significant advancements in neural text-to-audio generation, challenges persist in controllability and evaluation. This paper addresses these issues through the Sound Scene Synthesis challenge held as part of the Detection and Clas…
View article: EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal
EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal Open
In this paper, we introduce the Extreme Metal Vocals Dataset, which comprises a collection of recordings of extreme vocal techniques performed within the realm of heavy metal music. The dataset consists of 760 audio excerpts of 1 second to…
View article: Machine listening in a neonatal intensive care unit
Machine listening in a neonatal intensive care unit Open
Oxygenators, alarm devices, and footsteps are some of the most common sound sources in a hospital. Detecting them has scientific value for environmental psychology but comes with challenges of its own: namely, privacy preservation and limi…
View article: Detection of Deepfake Environmental Audio
Detection of Deepfake Environmental Audio Open
With the ever-rising quality of deep generative models, it is increasingly important to be able to discern whether the audio data at hand have been recorded or synthesized. Although the detection of fake speech signals has been studied ext…
View article: Sound source classification for soundscape analysis using fast third-octave bands data from an urban acoustic sensor network
Sound source classification for soundscape analysis using fast third-octave bands data from an urban acoustic sensor network Open
The exploration of the soundscape relies strongly on the characterization of the sound sources in the sound environment. Novel sound source classifiers, called pre-trained audio neural networks (PANNs), are capable of predicting the presen…
View article: Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant Open
This paper explores whether considering alternative domain-specific embeddings to calculate the Fréchet Audio Distance (FAD) metric can help the FAD to correlate better with perceptual ratings of environmental sounds. We used embeddings fr…
View article: Extreme Metal Vocals Dataset (EMVD)
Extreme Metal Vocals Dataset (EMVD) Open
Extreme Metal Vocals Dataset (EMVD) Version 1.0, October 2023 Created by Modan Tailleur (1,3), Julien Pinquier (2), Laurent Millot (1), Corsin Vogel (1), Mathieu Lagrange (3) ENS Louis-Lumière, Saint-Denis, France IRIT, Université de Toulo…
View article: third-octave and mel data from Dcase Task 1 own train/valid/test split
third-octave and mel data from Dcase Task 1 own train/valid/test split Open
This zip file contains all the train/valid/test split used for the transcoder experiment.
View article: third-octave and mel data from Dcase Task 1 own train/valid/test split
third-octave and mel data from Dcase Task 1 own train/valid/test split Open
This zip file contains all the train/valid/test split used for the transcoder experiment.