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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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07/03/2023
Semantic enrichment towards efficient speech representations
Over the past few years, self-supervised learned speech representations ...
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06/29/2023
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data
We propose a method for speech-to-speech emotionpreserving translation t...
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06/01/2023
Some voices are too common: Building fair speech recognition systems using the Common Voice dataset
Automatic speech recognition (ASR) systems become increasingly efficient...
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04/20/2023
OLISIA: a Cascade System for Spoken Dialogue State Tracking
Though Dialogue State Tracking (DST) is a core component of spoken dialo...
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03/14/2023
Improving Accented Speech Recognition with Multi-Domain Training
Thanks to the rise of self-supervised learning, automatic speech recogni...
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02/20/2023
Federated Learning for ASR based on Wav2vec 2.0
This paper presents a study on the use of federated learning to train an...
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10/11/2022
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding
In this paper we examine the use of semantically-aligned speech represen...
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05/04/2022
ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks
This paper describes the ON-TRAC Consortium translation systems develope...
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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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04/02/2022
End-to-end model for named entity recognition from speech without paired training data
Recent works showed that end-to-end neural approaches tend to become ver...
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01/13/2022
Speech Resources in the Tamasheq Language
In this paper we present two datasets for Tamasheq, a developing languag...
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11/07/2021
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
The widespread of powerful personal devices capable of collecting voice ...
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11/06/2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
This paper investigates methods to effectively retrieve speaker informat...
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06/24/2021
Where are we in semantic concept extraction for Spoken Language Understanding?
Spoken language understanding (SLU) topic has seen a lot of progress the...
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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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03/04/2021
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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02/01/2021
End2End Acoustic to Semantic Transduction
In this paper, we propose a novel end-to-end sequence-to-sequence spoken...
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11/18/2020
On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition
Pre-training for feature extraction is an increasingly studied approach ...
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07/30/2020
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization
Supervised approaches for Neural Abstractive Summarization require large...
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07/15/2020
Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
Summarizing texts is not a straightforward task. Before even considering...
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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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03/15/2020
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models
In this paper we investigate the GMM-derived (GMMD) features for adaptat...
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02/14/2020
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
This work investigates the embeddings for representing dialog history in...
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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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09/29/2019
Recent Advances in End-to-End Spoken Language Understanding
This work investigates spoken language understanding (SLU) systems in th...
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06/18/2019
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability
We present an end-to-end approach to extract semantic concepts directly ...
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05/30/2018
End-to-end named entity extraction from speech
Named entity recognition (NER) is among SLU tasks that usually extract s...
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05/12/2018
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation
In this paper, we present TED-LIUM release 3 corpus dedicated to speech ...
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05/26/2017
