Mohamed Ameur Ben Jannet

Mohamed Ameur Ben Jannet has a diverse work experience in the field of data science and speech recognition. In 2015, they worked as a postdoctoral researcher at LIMSI, where they focused on information retrieval from speech. Specifically, they worked on optimizing the functionality of applications that involve Automatic Speech Recognizer (ASR) and Information Extraction (IE) components.

From 2017 to 2018, Mohamed took on a postdoctoral role at Telecom ParisTech, where they developed a system for speech-based emotion and opinion recognition. This system utilized both speech transcription and acoustic-prosodic voice descriptors to determine a client's emotional state during their interaction with a counselor.

In 2018, Mohamed joined Trading Central as a Lead Data Scientist, though the specific role details and dates are not provided.

Overall, Mohamed Ameur Ben Jannet has demonstrated expertise in areas such as speech recognition, data analysis, and emotion recognition, making valuable contributions throughout their various roles in the field.

Mohamed Ameur Ben Jannet's education history begins in 2006 when they attended Faculté des sciences de Monastir. Mohamed Ameur completed their Maîtrise en Informatique, specializing in mathématiques et informatique, in 2010.

Following this, from 2010 to 2011, they pursued a Master 2 (M2) degree in Traitement automatique de la langue at Université Stendhal Grenoble 3.

In 2011, they moved to Polytech Grenoble where they attended until 2012, completing another Master 2 (M2) degree in Sciences cognitives.

Finally, from 2013 to 2015, Mohamed Ameur Ben Jannet studied at Université Paris-Saclay, where they obtained a Doctorat en Informatique in the field of Informatique.