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Olivier Galibert

2 accepted papers

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

ASR Performance Prediction on Unseen Broadcast Programs Using Convolutional Neural Networks

ICASSP 2018accepted

In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs. We first propose an heterogenous French corpus dedicated to this task. Two prediction approaches are compared: a state-of-the-art performance prediction based on regression (engineered featur…

Cited by 0SourceScholar