Applies to General Signal Processing

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Research Scientist - Tracking and Data Fusion

NATO Vacancy 180543 

Scientist, Tracking and Data Fusion

Primary Location: Italy-La Spezia

NATO Body: Centre for Maritime Research and Experimentation (CMRE)

Schedule: Full-time

Salary (Pay Basis): 5,285.21Euro (EUR) Monthly

Grade A.2

Research Associate in Deep Learning Methods for Speech Recogniation

To work on advanced methods for automatic speech recognition with the aim towards building transferable multiple domain end to end recognition systems that are adaptive and can learn over long periods of time.

Research Associate in Multilingual Speech Recognition

To work on advanced deep learning methods to build robust and high performance methods for speech recognition that can work in the context of many languages and that allow fast building of recognition systems for new languages.

Research Associate in Emotion and Speech Attribute Recognition

To work on unified methodologies to extract information from speech that allows to infer a variety of speech properties relating to the emotional state. Methods should be robust and the work should keep further speech attributes in mind. The position is funded by the Innovate UK (UKRI) project MAUDIE and by IIKE in collaboration with Emotech Ltd. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 12 months.

PhD in Direct Waveform Processing for Noise Robustness and Multi-Channel Integration

To work on robust methods for direct recognition from the raw waveforms - to achieve robustness against environmental effects. Work should focus on telephony, but further multichannel input is of interest. Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies.

PhD in Integrated Methods for Diarisation

Diarisation is the process of recognising who speaks when, with as little prior knowledge as possible. To this day it is implemented as a multi-stage process. Research should focus on integrating what is now typically 4 stages of processing into an end to end . Funded by UKRI for 3.5 years. Funding details to be announced soon.

Research Associate in Audio-Visual Dubbing Technologies

To work on methods that allow to increase the productivity of Movie Voice Dubbing methodology through advanced speech technology. The aim is to develop and implement methods that can help media specialists in foreign language dubbing to produce spoken translations that fit perfectly to the visual content. The project work is in conjunction with Zoo Digital who provide access to rich and very large media archives.
The position is funded by the Innovate UK (UKRI) project MAUDIE . Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 2.5 years.


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