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Anthony Larcher

7 accepted papers

2024

ALLIES: A Speech Corpus for Segmentation, Speaker Diarization, Speech Recognition and Speaker Change Detection

COLING 2024main

This paper presents ALLIES, a meta corpus which gathers and extends existing French corpora collected from radio and TV shows. The corpus contains 1048 audio files for about 500 hours of speech. Agglomeration of data is always a difficult issue, as the guidelines used to collect, annotate and transc…

2021

End-to-End anti-spoofing with RawNet2

ICASSP 2021accepted

Spoofing countermeasures aim to protect automatic speaker verification systems from being manipulated by spoofed speech signals. While results from the most recent ASVspoof 2019 evaluation show great potential to detect most forms of attack, some continue to evade detection. This paper reports the f…

Cited by 0SourceScholar
2021

Speaker Embeddings for Diarization of Broadcast Data In The Allies Challenge

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…

Cited by 0SourceScholar
2018

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

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…

Cited by 0SourceScholar