Search Results for author: Fran{\c{c}}ois Portet

Found 16 papers, 0 papers with code

Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling

no code implementations LREC 2020 Raheel Qader, Fran{\c{c}}ois Portet, Cyril Labbe

We present Seq2SeqPy a lightweight toolkit for sequence-to-sequence modeling that prioritizes simplicity and ability to customize the standard architectures easily.

Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU

no code implementations LREC 2020 Thierry Desot, Fran{\c{c}}ois Portet, Michel Vacher

We present the automatic generation process of a synthetic semantically-annotated corpus of French commands for smart-home to train pipeline and End-to-End (E2E) SLU models.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Fine-Grained Control of Sentence Segmentation and Entity Positioning in Neural NLG

no code implementations WS 2019 Kritika Mehta, Raheel Qader, Cyril Labbe, Fran{\c{c}}ois Portet

The results demonstrate that the position identifiers do constraint the neural model to respect the intended output structure which can be useful in a variety of domains that require the generated text to be in a certain structure.

Data-to-Text Generation Position +2

CirdoX: an on/off-line multisource speech and sound analysis software

no code implementations LREC 2016 Fr{\'e}d{\'e}ric Aman, Michel Vacher, Fran{\c{c}}ois Portet, William Duclot, Benjamin Lecouteux

C IRDO X, which is a modular software, is able to analyse online the audio environment in a home, to extract the uttered sentences and then to process them thanks to an ASR module.

General Classification

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