Research Interests

My research interests concern:
  • Automatic Speech Recognition (ASR)
  • Confidence measures for ASR error detection
  • Deep learning
  • Word Embeddings

Thesis and supervision

I'm a PHD student at LIUM since October 2014. My thesis concerns automatic diagnosis and management of ASR errors using deep learning
  • Thesis director: Yannick Estève (Professor and Head of the LIUM )
  • Supervisor: Nathalie Camelin (Associate Professor)

  • Current work

    Currently, I am working on ASR error detection in the context of the VERA project.

    Master thesis

    Title: Combination of machine translation systems outputs
    Period: from 02/2013 to 07/2013 (6 months)
    Supervisor: Loïc Barrault (Associate Professor)

    Abstract : Machine translation (MT) system combination has taken a great importance these past few years. This is mainly due to the fact that single systems achieved good performance and the possibility of taking the most of their complementarity in a system combination framework is very attractive. This work we focused on system combination, especially on the integration of new Knowledge in MANY's decoder. MANY is open source system combination software based on confusion networks decoding developed at LIUM  by Loïc BARRAUL. This system has been updated in order to estimate the word confidence score and to boost n-grams present in input hypotheses by using an adapted language model or adding additional feature in the decoder.

    Publication :
Laboratoire d'Informatique de l'Université du Maine (LIUM)
Institut d'Informatique Claude Chappe
Université du Maine, Avenue Laënnec
Tél : +33/0 2 43 83 38 58
Fax : +33/0 2 43 83 38 68