From the 1 of 15 papers with an AI index.
50 citations
- Institut des Hautes Études ScientifiquesFR7 papers
- Lyon 1 UniversitéFR7 papers
- Observatoire de la Côte d’AzurFR7 papers
- Observatoire de ParisFR7 papers
- Université Paris CitéFR7 papers
- Aix-Marseille UniversitéFR6 papers
- Laboratoire d'Acoustique de l'Université du MansFR6 papers
- American UniversityUS5 papers
- Ariel UniversityIL5 papers
- Bard CollegeUS5 papers
- Bar-Ilan UniversityIL5 papers
- Barry UniversityUS5 papers
4 papers · 1 filter
A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition applied on French Language
Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa +1
The performance of end-to-end automatic speech recognition (ASR) systems enables their increasing integration into numerous applications. While there are various benefits to such s…
A Paradigm for Interpreting Metrics and Identifying Critical Errors in Automatic Speech Recognition
Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa +1
The most commonly used metrics for evaluating automatic speech transcriptions, namely Word Error Rate (WER) and Character Error Rate (CER), have been heavily criticized for their p…
HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
Thibault Bañeras Roux, Jane Wottawa, Mickael Rouvier +2
Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word e…
Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition
Thibault Bañeras-Roux, Mickaël Rouvier, Jane Wottawa +1
Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on the word error rate (WER). How…