116 citations · 441 across the 62 of their papers we have counts for
13 papers · 1 filter
Enabling Interactive Transcription in an Indigenous Community
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. This work is grounded in an almost zero-reso…
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
Hang Le, Juan Pino, Changhan Wang +3
We introduce dual-decoder Transformer, a new model architecture that jointly performs automatic speech recognition (ASR) and multilingual speech translation (ST). Our models are ba…
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
Ewan Dunbar, Julien Karadayi, Mathieu Bernard +6
We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics f…
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS
Brooke Stephenson, Laurent Besacier, Laurent Girin +1
In incremental text to speech synthesis (iTTS), the synthesizer produces an audio output before it has access to the entire input sentence. In this paper, we study the behavior of…
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
Vaishali Pal, Manish Shrivastava, Laurent Besacier
Conversational and task-oriented dialogue systems aim to interact with the user using natural responses through multi-modal interfaces, such as text or speech. These desired respon…
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech
William N. Havard, Jean-Pierre Chevrot, Laurent Besacier
The language acquisition literature shows that children do not build their lexicon by segmenting the spoken input into phonemes and then building up words from them, but rather ado…
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier +3
We conduct in this work an evaluation study comparing offline and online neural machine translation architectures. Two sequence-to-sequence models: convolutional Pervasive Attentio…
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
Maha Elbayad, Ha Nguyen, Fethi Bougares +5
This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2020, offline speech translation and…
Efficient Wait-k Models for Simultaneous Machine Translation
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Simultaneous machine translation consists in starting output generation before the entire input sequence is available. Wait-k decoders offer a simple but efficient approach for thi…
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier
For endangered languages, data collection campaigns have to accommodate the challenge that many of them are from oral tradition, and producing transcriptions is costly. Therefore,…
Gender Representation in Open Source Speech Resources
Mahault Garnerin, Solange Rossato, Laurent Besacier
With the rise of artificial intelligence (AI) and the growing use of deep-learning architectures, the question of ethics, transparency and fairness of AI systems has become a centr…
A Data Efficient End-To-End Spoken Language Understanding Architecture
Marco Dinarelli, Nikita Kapoor, Bassam Jabaian +1
End-to-end architectures have been recently proposed for spoken language understanding (SLU) and semantic parsing. Based on a large amount of data, those models learn jointly acous…
Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks
Vaishali Pal, Fabien Guillot, Manish Shrivastava +2
Spoken dialogue systems typically use a list of top-N ASR hypotheses for inferring the semantic meaning and tracking the state of the dialogue. However ASR graphs, such as confusio…