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Featured Co-authors

Lei Xie
137 publications
Jian Wu
103 publications
Franck Dernoncourt
90 publications
Trung Bui
52 publications
Titouan Parcollet
34 publications
Oliver Lemon
27 publications
Juan Zuluaga-Gomez
21 publications
Xiong Wang
17 publications
Vincent Lenders
17 publications
Jan Cernocky
16 publications
Jean-Marc Odobez
15 publications

research

∙ 07/03/2023

Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews

We propose a simple approach for weighting self-connecting edges in a Gr...

0 Sergio Burdisso, et al. ∙

research

∙ 06/23/2023

Implementing contextual biasing in GPU decoder for online ASR

GPU decoding significantly accelerates the output of ASR predictions. Wh...

0 Iuliia Nigmatulina, et al. ∙

research

∙ 05/29/2023

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition

State-of-the-art ASR systems have achieved promising results by modeling...

29 Florian Mai, et al. ∙

research

∙ 05/02/2023

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

Voice communication between air traffic controllers (ATCos) and pilots i...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 04/16/2023

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

In this paper we propose a novel virtual simulation-pilot engine for spe...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 12/16/2022

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

In this paper, we perform an exhaustive evaluation of different represen...

28 Esaú Villatoro-Tello, et al. ∙

research

∙ 12/14/2022

Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator

This paper describes a simple yet efficient repetition-based modular sys...

0 Amrutha Prasad, et al. ∙

research

∙ 11/08/2022

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

Personal assistants, automatic speech recognizers and dialogue understan...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 09/08/2022

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach

In this paper, we describe our participation in the subtask 1 of CASE-20...

2 Sergio Burdisso, et al. ∙

research

∙ 09/08/2022

IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model

In this paper, we describe our shared task submissions for Subtask 2 in ...

10 Martin Fajcik, et al. ∙

research

∙ 07/28/2022

Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction

We present Claim-Dissector: a novel latent variable model for fact-check...

0 Martin Fajcik, et al. ∙

research

∙ 03/31/2022

How Does Pre-trained Wav2Vec2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications

Recent work on self-supervised pre-training focus on leveraging large-sc...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 02/08/2022

A two-step approach to leverage contextual data: speech recognition in air-traffic communications

Automatic Speech Recognition (ASR), as the assistance of speech communic...

0 Iuliia Nigmatulina, et al. ∙

research

∙ 10/12/2021

BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications

Automatic Speech Recognition (ASR) is gaining special interest in Air Tr...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 08/27/2021

Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR

Assistant Based Speech Recognition (ABSR) for air traffic control is gen...

0 Amrutha Prasad, et al. ∙

research

∙ 08/27/2021

Improving callsign recognition with air-surveillance data in air-traffic communication

Automatic Speech Recognition (ASR) can be used as the assistance of spee...

0 Iuliia Nigmatulina, et al. ∙

research

∙ 07/16/2021

A Comparison of Methods for OOV-word Recognition on a New Public Dataset

A common problem for automatic speech recognition systems is how to reco...

0 Rudolf A. Braun, et al. ∙

research

∙ 04/08/2021

Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems

Air traffic management and specifically air-traffic control (ATC) rely m...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 11/04/2020

IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speec...

0 Yihui Fu, et al. ∙

research

∙ 10/23/2020

Speech Activity Detection Based on Multilingual Speech Recognition System

To better model the contextual information and increase the generalizati...

0 Seyyed Saeed Sarfjoo, et al. ∙

research

∙ 10/07/2020

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

We present a simple wrapper that is useful to train acoustic models in P...

0 Srikanth Madikeri, et al. ∙

research

∙ 06/18/2020

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Advances in Automatic Speech Recognition (ASR) over the last decade open...

0 Juan Zuluaga-Gomez, et al. ∙

research

∙ 06/16/2020

Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework

Robust automatic speech recognition (ASR) system exploits state-of-the-a...

0 Amrutha Prasad, et al. ∙

research

∙ 06/03/2020

Improving Speaker Identification using Network Knowledge in Criminal Conversational Data

Criminal investigations rely on the collection of conversational data. T...

0 Mael Fabien, et al. ∙

research

∙ 09/15/2019

MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

In the EU-funded MuMMER project, we have developed a social robot design...

3 Mary Ellen Foster, et al. ∙

research

∙ 08/08/2019

Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition

In this paper, we explore various approaches for semi supervised learnin...

3 Subhadeep Dey, et al. ∙

research

∙ 11/30/2017

Deep Neural Networks for Multiple Speaker Detection and Localization

We propose to use neural networks (NNs) for simultaneous detection and l...

0 Weipeng He, et al. ∙

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