Jean Carrive — accepted AI-conference papers

2021

Speaker Embeddings for Diarization of Broadcast Data In The Allies Challenge

Anthony Larcher, Ambuj Mehrish, Marie Tahon, Sylvain Meignier, Jean Carrive, David Doukhan +2

ICASSP 2021accepted

Diarization consists in the segmentation of speech signals and the clustering of homogeneous speaker segments. State-of-the-art systems typically operate upon speaker embeddings, such as i-vectors or neural x-vectors, extracted from mel cepstral coefficients (MFCCs) or spectrograms. The recent SincN…

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2018

An Open-Source Speaker Gender Detection Framework for Monitoring Gender Equality

David Doukhan, Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier

ICASSP 2018accepted

This paper presents an approach based on acoustic analysis to describe gender equality in French audiovisual streams, through the estimation of male and female speaking time. Gender detection systems based on Gaussian Mixture Models, i-vectors and Convolutional Neural Networks (CNN) were trained usi…

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