Concept
Reconnaissance automatique de la parole
Publications associées (32)
Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models
Auditory research aims in general to lead to understanding of physiological processes. By contrast, the state of the art in automatic speech processing (notably recognition) is dominated by large pre-trained models that are meant to be used as black-boxes. ...
2024Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study
Frédéric Kaplan, Maud Ehrmann, Matteo Romanello, Emanuela Boros, Sven-Nicolas Yoann Najem
The quality of automatic transcription of heritage documents, whether from printed, manuscripts or audio sources, has a decisive impact on the ability to search and process historical texts. Although significant progress has been made in text recognition ( ...
The Association for Computational Linguistics2024In-Sensor Passive Speech Classification with Phononic Metamaterials
Mitigating the energy requirements of artificial intelligence requires novel physical substrates for computation. Phononic metamaterials have vanishingly low power dissipation and hence are a prime candidate for green, always-on computers. However, their u ...
Weinheim2024Vibrio cholerae pathogenicity island 2 encodes two distinct types of restriction systems
Melanie Blokesch, David William Adams, Alexandre Lemopoulos, Grazia Vizzarro
In response to predation by bacteriophages and invasion by other mobile genetic elements such as plasmids, bacteria have evolved specialised defence systems that are often clustered together on genomic islands. The O1 El Tor strains of Vibrio cholerae resp ...
2024Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
Alfio Quarteroni, Francesco Regazzoni, Stefano Pagani
Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress. Traditional equations-based approaches leverage first principles through the numerical approximation of differential equ ...
Nature Portfolio2024On matching data and model in LF-MMI-based dysarthric speech recognition
In light of steady progress in machine learning, automatic speech recognition (ASR) is entering more and more areas of our daily life, but people with dysarthria and other speech pathologies are left behind. Their voices are underrepresented in the trainin ...
EPFL2023