Search Results for author: Éric Le Ferrand

Found 4 papers, 1 papers with code

Spoken Term Detection Methods for Sparse Transcription in Very Low-resource Settings

no code implementations11 Jun 2021 Éric Le Ferrand, Steven Bird, Laurent Besacier

We investigate the efficiency of two very different spoken term detection approaches for transcription when the available data is insufficient to train a robust ASR system.

Dynamic Time Warping

Enabling Interactive Transcription in an Indigenous Community

no code implementations COLING 2020 Éric Le Ferrand, Steven Bird, Laurent Besacier

We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment.

MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible

1 code implementation LREC 2020 Marcely Zanon Boito, William N. Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier

However, the fact that the source content (the Bible) is the same for all the languages is not exploited to date. Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8, 130 parallel spoken utterances across 8 languages (56 language pairs).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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