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TU Berlin

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Juan Pablo Ramirez


Research Field

 - Speech Intelligibility -

Music is played, noise in the street, you feel old and/or tired and hardly speak your interlocutor's language...

What percentage of speech are you able to understand?

Parametric models assess intelligibility when speech is masked by noise (SII), or when speech is distorted acoustically (STI).

However, mechanisms of speech perception are not well understood. Associating our work with cognitive related scientists (neuropsychologists, audiologists …), we are looking forward enhancing the knowledge of human speech perception.


Research Topics

- Comparison of Objective Assessment

Methods for Intelligibility and Speech Quality -

Study of the relationship between quality and intelligibility perceived by humans. This link is poorly quantified, though it is stated (Gabrielson and Sjoren (1979)) that intelligibility is undoubtedly a major component in quality perception.



November 2007

PhD position at the T-Labs, on the topic of intelligibility of speech.

Sept 2007

Graduate engineer in electronics and telecommunication at ENSEA (Ecole Nationale de l'Electronique et de ses Applications)

Jan-Sept 2007

Diploma thesis at Deutsche Telekom AG, T-Labs Berlin: Assessment and prediction of wideband speech quality

Oct 2006 - Sept 2007  

Final year at the Technische University of Berlin as an exchange program student (acoustics, speech and signal processing, sound engineering)

Sept 2004 - July 2006

M.Sc. engineering at ENSEA (a graduate school in electrical engineering, computer science and telecommunications), Paris. Major: electro acoustics and speech processing.

Sept 2002 - July 2004

Intensive preparatory classes to national competitive entrance exam to engineering schools at the Lycée Clemenceau in Nantes (France).

Sept 1995 - June 2002

A-levels in sciences, in Addis Ababa. Secondary school at the French school of Nairobi 




Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel:  +49 30 8353 58376

Handy : +49 1607018333




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