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09/11/2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Self-supervised learning (SSL) is at the origin of unprecedented improve...
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02/13/2023
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
Context-aware translation can be achieved by processing a concatenation ...
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10/24/2022
Focused Concatenation for Context-Aware Neural Machine Translation
A straightforward approach to context-aware neural machine translation c...
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10/21/2022
A Textless Metric for Speech-to-Speech Comparison
This paper proposes a textless speech-to-speech comparison metric that a...
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10/20/2022
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
In recent years, multilingual machine translation models have achieved p...
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07/05/2022
ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks
We aim at improving spoken language modeling (LM) using very large amoun...
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07/04/2022
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model
Several recent studies have tested the use of transformer language model...
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05/22/2022
What Do Compressed Multilingual Machine Translation Models Forget?
Recently, very large pre-trained models achieve state-of-the-art results...
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04/04/2022
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems
Self-supervised models for speech processing emerged recently as popular...
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10/20/2021
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
We consider the problem of multilingual unsupervised machine translation...
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06/22/2021
On the Evaluation of Machine Translation for Terminology Consistency
As neural machine translation (NMT) systems become an important part of ...
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06/11/2021
Spoken Term Detection Methods for Sparse Transcription in Very Low-resource Settings
We investigate the efficiency of two very different spoken term detectio...
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06/08/2021
Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings
When documenting oral-languages, Unsupervised Word Segmentation (UWS) fr...
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06/02/2021
Lightweight Adapter Tuning for Multilingual Speech Translation
Adapter modules were recently introduced as an efficient alternative to ...
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05/31/2021
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?
Recent studies on the analysis of the multilingual representations focus...
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04/29/2021
Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation
Boosted by the simultaneous translation shared task at IWSLT 2020, promi...
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04/23/2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
Self-Supervised Learning (SSL) using huge unlabeled data has been succes...
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03/31/2021
Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources
Multi-encoder models are a broad family of context-aware Neural Machine ...
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03/16/2021
Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
This paper describes the results of an informal collaboration launched d...
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03/04/2021
An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
This paper proposes a decoding strategy for end-to-end simultaneous spee...
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02/19/2021
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
The prosody of a spoken word is determined by its surrounding context. I...
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11/12/2020
Enabling Interactive Transcription in an Indigenous Community
We propose a novel transcription workflow which combines spoken term det...
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11/02/2020
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
We introduce dual-decoder Transformer, a new model architecture that joi...
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10/12/2020
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
We present the Zero Resource Speech Challenge 2020, which aims at learni...
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09/04/2020
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS
In incremental text to speech synthesis (iTTS), the synthesizer produces...
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06/15/2020
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech
We investigate the effect of introducing phone, syllable, or word bounda...
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06/09/2020
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
Conversational and task-oriented dialogue systems aim to interact with t...
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06/01/2020
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
We conduct in this work an evaluation study comparing offline and online...
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05/24/2020
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
This paper describes the ON-TRAC Consortium translation systems develope...
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05/18/2020
Efficient Wait-k Models for Simultaneous Machine Translation
Simultaneous machine translation consists in starting output generation ...
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03/30/2020
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
For endangered languages, data collection campaigns have to accommodate ...
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03/18/2020
Gender Representation in Open Source Speech Resources
With the rise of artificial intelligence (AI) and the growing use of dee...
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02/14/2020
A Data Efficient End-To-End Spoken Language Understanding Architecture
End-to-end architectures have been recently proposed for spoken language...
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02/03/2020
Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks
Spoken dialogue systems typically use a list of top-N ASR hypotheses for...
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12/11/2019
FlauBERT: Unsupervised Language Model Pre-training for French
Language models have become a key step to achieve state-of-the-art resul...
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11/12/2019
Character-based NMT with Transformer
Character-based translation has several appealing advantages, but its pe...
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11/07/2019
The LIG system for the English-Czech Text Translation Task of IWSLT 2019
In this paper, we present our submission for the English to Czech Text T...
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10/31/2019
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019
Recently, neural models led to significant improvements in both machine ...
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10/30/2019
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
This paper describes the ON-TRAC Consortium translation systems develope...
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10/18/2019
Controlling Utterance Length in NMT-based Word Segmentation with Attention
One of the basic tasks of computational language documentation (CLD) is ...
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10/11/2019
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
For language documentation initiatives, transcription is an expensive re...
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09/18/2019
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
In this paper, we study how word-like units are represented and activate...
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08/23/2019
Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
This paper analyzes the gender representation in four major corpora of F...
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07/30/2019
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
The CMU Wilderness Multilingual Speech Dataset is a newly published mult...
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06/29/2019
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
Since Bahdanau et al. [1] first introduced attention for neural machine ...
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04/25/2019
The Zero Resource Speech Challenge 2019: TTS without T
We present the Zero Resource Speech Challenge 2019, which proposes to bu...
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02/08/2019
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese
We investigate the behaviour of attention in neural models of visually g...
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10/17/2018
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
In spite of the recent success of Dialogue Act (DA) classification, the ...
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08/26/2018
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
This paper addresses a relatively new task: prediction of ASR performanc...
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08/11/2018
