116 citations · 441 across the 62 of their papers we have counts for
11 papers · 1 filter
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
Xuanli He, Quan Hung Tran, William Havard +3
In spite of the recent success of Dialogue Act (DA) classification, the majority of prior works focus on text-based classification with oracle transcriptions, i.e. human transcript…
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
Zied Elloumi, Laurent Besacier, Olivier Galibert +1
This paper addresses a relatively new task: prediction of ASR performance on unseen broadcast programs. In a previous paper, we presented an ASR performance prediction system using…
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Current state-of-the-art machine translation systems are based on encoder-decoder architectures, that first encode the input sequence, and then generate an output sequence based on…
A small Griko-Italian speech translation corpus
Marcely Zanon Boito, Antonios Anastasopoulos, Marika Lekakou +2
This paper presents an extension to a very low-resource parallel corpus collected in an endangered language, Griko, making it useful for computational research. The corpus consists…
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard, Marcely Zanon-Boito, Lucas Ondel +4
We present a first attempt to perform attentional word segmentation directly from the speech signal, with the final goal to automatically identify lexical units in a low-resource,…
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Despite the effectiveness of recurrent neural network language models, their maximum likelihood estimation suffers from two limitations. It treats all sentences that do not match t…
ASR Performance Prediction on Unseen Broadcast Programs using Convolutional Neural Networks
Zied Elloumi, Laurent Besacier, Olivier Galibert +2
In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs. We first propose an heterogenous French corpus dedicated to this task.…
Bayesian Models for Unit Discovery on a Very Low Resource Language
Lucas Ondel, Pierre Godard, Laurent Besacier +7
Developing speech technologies for low-resource languages has become a very active research field over the last decade. Among others, Bayesian models have shown some promising resu…
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop
Odette Scharenborg, Laurent Besacier, Alan Black +16
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and word…
End-to-End Automatic Speech Translation of Audiobooks
Alexandre Bérard, Laurent Besacier, Ali Can Kocabiyikoglu +1
We investigate end-to-end speech-to-text translation on a corpus of audiobooks specifically augmented for this task. Previous works investigated the extreme case where source langu…
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation
Ali Can Kocabiyikoglu, Laurent Besacier, Olivier Kraif
Recent works in spoken language translation (SLT) have attempted to build end-to-end speech-to-text translation without using source language transcription during learning or decod…