Deadline: 30 Nov. 2014
The Department of Signal Processing and Acoustics is a part of School of Electrical Engineering. The department consists of eight research groups led by its professors.
The speech communication technology research group (led by Prof. Paavo Alku) works on interdisciplinary topics aiming at describing, explaining and reproducing communication by speech. The main topics of our research are: analysis and parameterization of speech production, statistical parametric speech synthesis, enhancement of speech quality and intelligibility in mobile phones, robust feature extraction in speech and speaker recognition, occupational voice care and brain functions in speech perception.
The speech communication technology research group is seeking to hire a doctoral student to join their research team to work on statistical parametric speech synthesis.
Requirements
The candidate should have a master's degree in speech and language technology, signal processing or information technology (or a related field). Good programming skills (C/C++/Matlab/Python) is a must, experience in artificial neural networks, especially in deep learning, is desirable.
How to apply
If you are interested in this opportunity, apply by submitting the following documents in English and in electrical form (pdf) by November 30, 2014. Send your application, CV, a transcript of academic records and references directly by email to Prof. Paavo Alku (paavo.alku@aalto.fi). Please insert the subject line “Speech communication technology PhD student position” to your e-mail.
Additional information
Professor Paavo Alku, firstname.lastname@aalto.fi
The Department of Signal Processing and Acoustics is a part of School of Electrical Engineering. The department consists of eight research groups led by its professors.
The speech communication technology research group (led by Prof. Paavo Alku) works on interdisciplinary topics aiming at describing, explaining and reproducing communication by speech. The main topics of our research are: analysis and parameterization of speech production, statistical parametric speech synthesis, enhancement of speech quality and intelligibility in mobile phones, robust feature extraction in speech and speaker recognition, occupational voice care and brain functions in speech perception.
The speech communication technology research group is seeking to hire a doctoral student to join their research team to work on statistical parametric speech synthesis.
Requirements
The candidate should have a master's degree in speech and language technology, signal processing or information technology (or a related field). Good programming skills (C/C++/Matlab/Python) is a must, experience in artificial neural networks, especially in deep learning, is desirable.
How to apply
If you are interested in this opportunity, apply by submitting the following documents in English and in electrical form (pdf) by November 30, 2014. Send your application, CV, a transcript of academic records and references directly by email to Prof. Paavo Alku (paavo.alku@aalto.fi). Please insert the subject line “Speech communication technology PhD student position” to your e-mail.
Additional information
Professor Paavo Alku, firstname.lastname@aalto.fi
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