activity
20182024
most citedDetection and classification of vocal productions in large scale audio recordings

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 1 cited

A Robust Topological Framework for Detecting Regime Changes in Multi-Trial Experiments with Application to Predictive Maintenance

Anass B. El-Yaagoubi, Jean-Marc Freyermuth, Hernando Ombao

We present a general and flexible framework for detecting regime changes in complex, non-stationary data across multi-trial experiments. Traditional change point detection methods…

stat.AP2024

Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations

Guillem Bonafos, Clara Bourot, Pierre Pudlo +4

Based on audio recordings made once a month during the first 12 months of a child's life, we propose a new method for clustering this set of vocalizations. We use a topologically a…

cs.SD2023

Topological data analysis of human vowels: Persistent homologies across representation spaces

Guillem Bonafos, Jean-Marc Freyermuth, Pierre Pudlo +2

Topological Data Analysis (TDA) has been successfully used for various tasks in signal/image processing, from visualization to supervised/unsupervised classification. Often, topolo…

cs.SD2023★ 1 cited

Detection and classification of vocal productions in large scale audio recordings

Guillem Bonafos, Pierre Pudlo, Jean-Marc Freyermuth +4

We propose an automatic data processing pipeline to extract vocal productions from large-scale natural audio recordings and classify these vocal productions. The pipeline is based…

math.ST2018

Maxiset point of view for signal detection in inverse problems

Florent Autin, Marianne Clausel, Jean-Marc Freyermuth +1

This paper extends the successful maxiset paradigm from function estimation to signal detection in inverse problems. In this context, the maxisets do not have the same shape compar…