activity
20192025
most citedVocal markers from sustained phonation in Huntington's Disease

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing eess.ASShow all

5 papers · 1 filter

eess.AS2025

Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier

Tarek Kunze, Marianne Métais, Hadrien Titeux +5

Recordings gathered with child-worn devices promised to revolutionize both fundamental and applied speech sciences by allowing the effortless capture of children's naturalistic spe…

eess.AS2020

Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews

Rachid Riad, Hadrien Titeux, Laurie Lemoine +6

Conversations between a clinician and a patient, in natural conditions, are valuable sources of information for medical follow-up. The automatic analysis of these dialogues could h…

eess.AS20205 cited

Vocal markers from sustained phonation in Huntington's Disease

Rachid Riad, Hadrien Titeux, Laurie Lemoine +5

Disease-modifying treatments are currently assessed in neurodegenerative diseases. Huntington's Disease represents a unique opportunity to design automatic sub-clinical markers, ev…

eess.AS2019

Speaker detection in the wild: Lessons learned from JSALT 2019

Paola Garcia, Jesus Villalba, Herve Bredin +21

This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tack…

eess.AS2019

pyannote.audio: neural building blocks for speaker diarization

Hervé Bredin, Ruiqing Yin, Juan Manuel Coria +7

We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-en…