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thibault-roux/README.md

Hello there! πŸ§”

About Me

πŸŽ“ I'm a passionate Ph.D. student specializing in Natural Language Processing (NLP) and Speech Processing. My research focuses on the evaluation of Automatic Speech Recognition (ASR) systems, the analysis of their errors and their particularities! I work between Nantes and Avignon Universities πŸ› at the LS2N and the LIA. My supervisors are Richard Dufour, Jane Wottawa and Mickael Rouvier. Previously, I studied Cross-Lingual Embeddings and their evaluation methods at Aix-Marseille University with Carlos Ramisch and Manon Scholivet.

What I do

  • πŸ’‘ One of my objectives is to propose a metric that correspond to human expectations but is as interpretable as Word Error Rate.
  • πŸ” I developed a data set using 7,150 human choices which were annotated by 143 great people! This ✨open-access✨ data set can be used to evaluate rigorously ASR metrics so we can finally get rid of Word Error Rate. You are more than welcome to develop your own metric and to evaluate it on the HATS dataset using our toolkit πŸ€—
  • πŸ“Š One of the major implications of my work is the analysis of the impact of ASR hyperparameters on performances using diverse metrics. My research tends to show that metrics are not necessarily correlated at the transcription and system level.

Other Interests

  • πŸ“ Mathematics
  • 🎸 Guitar and Sing
  • 🎲 Game Theory
  • 🌱 Ethics theory

My Social Networks

Feel free to connect with me on my LinkedIn or Twitter/X 🌐

Pinned

  1. hypereval hypereval Public

    Framework to automatically evaluate transcriptions from an Automatic Speech Recognition system.

    Python 2

  2. metric-evaluator metric-evaluator Public

    Metric evaluator for Automatic Speech Recognition using the HATS dataset

    Python 3