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Postdoctoral Researcher position in Speech Processing

Department of Signal Processing and Acoustics
Teaching and research positions

Aalto University, Department of Signal Processing and Acoustics (Finland) invites applications for 

Postdoc position in Speech Processing  

The Department of Signal Processing and Acoustics is a part of School of Electrical Engineering at Aalto University (Finland). The department consists of four main research areas. 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 speech production, particularly glottal source analysis, speech parameterization, speaking style conversion, and statistical parametric speech synthesis. 

We are currently looking for a postdoc to join our research team to work on the team’s research themes. We are particularly interested in candidates with research interest in paralinguistic speech processing, especially related to human health, and in candidates with a background in machine learning -based acoustic-to-acoustic conversion (e.g. voice conversion). We also welcome strong candidates from other areas but previous experience in speech technology research is a must. 

Postdoc: 2 years. Starting date: January-May 2019 

In Helsinki you will join the innovative international computational data analysis and ICT community. Among European cities, Helsinki is special in being clean, safe, Scandinavian, and close to nature, in short, having a high standard of living. English is spoken everywhere. See, e.g. http://www.visitfinland.com/ 

Requirements
The position requires doctoral degree in speech technology, computer science, signal processing or other relevant area, skills for doing excellent research in a group, and outstanding research experience in any of the research themes mentioned above. The candidate should have a strong background in machine learning and/or signal processing and previous experience in speech research. The candidate is expected to perform high-quality research and assist in supervising PhD students.

How to apply
If you are interested in this opportunity, apply by submitting the following documents in English and in electrical form (use the pdf format only!) by December 31, 2018. Send your application, CV, a transcript of academic records and references directly by email to Professor Paavo Alku. Please insert the subject line “Aalto postdoc recruitment, 2018”. 

Additional information
Paavo Alku, [email protected]

Master's thesis position in robust F0 estimation from telephone speech for automatic detection of stress, anxiety, and depression from speech

Department of Signal Processing and Acoustics
Teaching and research positions

Master’s thesis position in robust F0 estimation from telephone speech for automatic detection of stress, anxiety, and depression from speech 

Keywords: speech technology, machine learning, noise robustness, speech-based health technology 

We are looking for a master’s thesis worker for a project that aims at automatic detection of stress, anxiety and depression from conversational speech data. The goal of the thesis work is to develop and test a robust classifier for speech fundamental frequency (F0) estimation from telephone speech.

F0, a property that is closely related to the pitch of speech, is one of the key characteristics in how people actively use their voice when they are speaking. However, it can also reflect the underlying cognitive state and health of the talker due to the close coupling of speech motor control to the physiological and neurophysiological status of the speaker. In order to use F0 as a feature for automatic diagnostics of speaker health in practical applications, accurate estimation of F0 is required also in non-ideal signal conditions, such as speech transmitted through a telephone channel where the frequency range of F0 is typically filtered out. Therefore the present thesis project aims at developing methodology for robust F0 estimation using deep learning, including also performance comparisons with the existing approaches in the literature.

The work will take place at the Department of Signal Processing and Acoustics, School of Electrical Engineering, Aalto University (Otaniemi campus). The thesis project is funded by Academy of Finland Science from Health (TERVA) program.

Type of contract: 6 months (100%). 

Starting date: As soon as possible, but no later than 1.12.2018.

Requirements: Master’s level expertise in digital signal processing, speech or audio technology, and machine learning are required in addition to programming skills in Matlab and Python. Experience from TensorFlow is considered as an advantage.

The applicant must be close to finishing M.Sc. degree and able to commit to the project full-time. 

More information: D.Sc. (tech.) Okko Räsänen ([email protected]; no umlauts)

How to apply: Please send your applications directly to Okko Räsänen using email subject “Application for master’s thesis in robust F0 estimation”. 

In your application, please include:

  •     Letter of motivation (~1 page)
  •     CV
  •     Transcript of M.Sc. studies at Aalto
  •     Transcript of studies before M.Sc.
  •     Other documents relevant to demonstration of your capabilities

Provide all attachments in a single .zip file titled “yourname_application.zip” attached to the application email. Only the applications submitted in the correct format will be considered

Application deadline: 15.10.2018. 

About Aalto University

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has been ranked the 7th best young university in the world (Top 50 under 50, QS 2018) and one of the world’s top technology challenger universities (THE 2017), thinking outside the box on research collaboration, funding and innovation. Aalto has six schools with nearly 11 000 students and 4000 employees of which close to 400 are professors. Our campuses are located in Espoo and Helsinki, Finland. With 37% of our academic faculty coming from outside Finland, we are a highly international community with strong academic standing.

At Aalto, high-quality research, art, education and entrepreneurship are promoted hand in hand. Disciplinary excellence is combined with multidisciplinary activities, engaging both students and the local innovation ecosystem. Our main campus is quickly transforming into an open collaboration hub that encourages encounters between students, researchers, industry, startups and other partners. Aalto University was founded in 2010 as three leading Finnish universities, Helsinki University of Technology, the Helsinki School of Economics and the University of Art and Design Helsinki, were merged to strengthen Finland’s innovative capability.

PhD student to Metrology Research Institute at Aalto University

Department of Signal Processing and Acoustics
Doctoral Candidate Positions

The Metrology Research Institute at Aalto University, Finland is searching for a PhD student to develop new electromagnetic radiation detectors with unprecedented spectral coverage from visible to infrared and terahertz wavelengths. Such detectors improve future measurement capabilities in health, safety, and security applications, e.g., in the detection and analysis of explosives and toxic gas compounds.

We expect the applicant to have a solid academic background in at least one of the following fields: optics and photonics, measurement science and technology, engineering physics or electronics.

We offer exposure to international research collaboration with established academic and research institutions.

The deadline for applications is November 2 2018. The applicants are kindly requested to submit the Cover Letter, CV and the Transcript of Academic Record.

Further information and applications: Toni Laurila, email: [email protected], tel. +358 50 358 3097, web: http://spa.aalto.fi/en/research/research_groups/metrology/

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