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20182024
most citedRobust Training of Vector Quantized Bottleneck Models

41 citations · 134 across the 14 of their papers we have counts for

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5 papers · 1 filter

eess.AS2024★ 2 cited

A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification

Rémi Uro, David Doukhan, Albert Rilliard +4

This paper presents a semi-automatic approach to create a diachronic corpus of voices balanced for speaker's age, gender, and recording period, according to 32 categories (2 gender…

eess.AS2022

On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and Model Calibration

Nauman Dawalatabad, Sameer Khurana, Antoine Laurent +1

Pseudo-label (PL) filtering forms a crucial part of Self-Training (ST) methods for unsupervised domain adaptation. Dropout-based Uncertainty-driven Self-Training (DUST) proceeds by…

eess.AS2021

End-to-end speaker segmentation for overlap-aware resegmentation

Hervé Bredin, Antoine Laurent

Speaker segmentation consists in partitioning a conversation between one or more speakers into speaker turns. Usually addressed as the late combination of three sub-tasks (voice ac…

eess.AS2020★ 9 cited

CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning

Sameer Khurana, Antoine Laurent, James Glass

More than half of the 7,000 languages in the world are in imminent danger of going extinct. Traditional methods of documenting language proceed by collecting audio data followed by…

eess.AS2020

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning

Sameer Khurana, Antoine Laurent, Wei-Ning Hsu +4

Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech. LVMs admit an intuitiv…