6 papers · 1 filter
Enforcing Speech Content Privacy in Environmental Sound Recordings using Segment-wise Waveform Reversal
Modan Tailleur, Mathieu Lagrange, Pierre Aumond +1
Environmental sound recordings often contain intelligible speech, raising privacy concerns that limit analysis, sharing and reuse of data. In this paper, we introduce a method that…
Predicting Timbre Traits for Interpretable Assessment of Musical Sound Synthesizers
Théo Chasle Cauchy, Modan Tailleur, Lindsey Reymore +2
Measuring neural audio synthesizers' performance is now routinely conducted using distribution based metrics such as the Fréchet Audio Distance (FAD). Although this metric can be…
Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
Junwon Lee, Modan Tailleur, Laurie M. Heller +5
Despite significant advancements in neural text-to-audio generation, challenges persist in controllability and evaluation. This paper addresses these issues through the Sound Scene…
Machine listening in a neonatal intensive care unit
Modan Tailleur, Vincent Lostanlen, Jean-Philippe Rivière +1
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 c…
EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal
Modan Tailleur, Julien Pinquier, Laurent Millot +2
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…
Detection of Deepfake Environmental Audio
Hafsa Ouajdi, Oussama Hadder, Modan Tailleur +2
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. Althoug…