Post-Doc/Research position in speech intelligibility enhancement

Place: TELECOM ParisTech, Paris, France Duration: 1 year Start: Any date from January 1st, 2015

Salary: according to background and experience

*Position description*

The position is supported by the national project ANR-AIDA1 which is a 3 year project started in October 2013.

1 ANR-AIDA : « Automobile Intelligible pour Déficients Auditifs » - http://aida.wp.mines-telecom.fr/

The aim of the project is to provide new means to improve speech intelligibility of audio messages in the car environment, letting the user the possibility to tune the system to his/her own audition deficiency. In this context, the role of the PostDoc/researcher will consist in conducting forefront research in Speech processing and in directly participating to the project by building flexible software modules for speech intelligibility enhancement. The domain of speech enhancement mainly aims at suppressing the noise in noisy speech signals but does not in general significantly enhances speech intelligibility. In this project, we are mainly interested in enhancing intelligibility in noisy conditions taking into account specific hearing deficiencies. The developed approaches will then be at the crossroads of the domains of denoising and voice transformation.

*TELECOM ParisTech*

TELECOM ParisTech is the leading graduate School of Institut TELECOM with more than 160 research professors, 20 associated CNRS researchers and over 250 Engineering degrees, 50 PhD and 150 specialised masters (post graduates) awarded per year. The Audio, Acoustics and Waves research group (AAO) headed by Prof. Gaël Richard gathers 6 permanent staffs, 3 postDocs and over 12 PhD students. The group has developed a strong expertise in audio signal processing (source separation, indexing, Audio3D compression, dereverberation/denoising....). More information at http://www.tsi.telecom-paristech.fr/aao/en/

Candidate Profile

As minimum requirements, the candidate will have:

- A PhD in speech or audio signal processing, acoustics, machine learning, computer science, electrical engineering, or a related discipline.

- Some knowledge in speech signal processing.

- Good programming skills in Python or Matlab, C/C++.

The ideal candidate would also have:

- Solid knowledge of speech processing and voice transformation techniques.

- Ability to work in a multi-partner and national collaborative environment.

- Some knowledge of Max/MSP.

Contacts Interested applicants can contact Gaël Richard or Bertrand David for more information or directly email a candidacy letter including Curriculum Vitae, a list of publications and a statement of research interests.

- Gael Richard (Gael.Richard@telecom-Paristech.fr) ; +33 1 45 81 73 65

- Bertrand David (firstname.lastname@Telecom-ParisTech.fr).