Connectionists: 4 Postdoctoral and 3 PhD positions in Deep Learning for Speech Technology

[Thomas Hain]

The Speech and Hearing Research Group at the University of Sheffield, UK
currently has several open positions to work on topics related to speech
and speech attribute recognition and analysis. We are looking for
enthusiastic and highly skilled candidates that have a keen interest in
machine learning as well as speech processing.

The positions are listed below. There are some URLs included that link to
the formal application pages, and all positions will eventually appear on
jobs.ac.uk (only 2 are there at the moment). PLease contact
t.hain at sheffield.ac.uk for any further questions.

Best regards

Thomas

--
Dr. Thomas Hain, Professor of Speech and Audio Technology
Head Speech and Hearing Research, Sheffield
http://www.dcs.shef.ac.uk/~th

===========================

   1.

   Research Associate in Deep Learning Methods for Speech Recognition
   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.
   The position is funded by the Voicebase Centre for Speech and Language
   Technologies. Salaries are at University of Sheffield grade scales 7.1 -
   7.9, and the opening is for 2 years, with the possibility of extension.
   More details can be found at: https://www.jobs.ac.uk/job/BKA
   871/research-associate-in-deep-learning-for-speech-recognition/
   <https://www.jobs.ac.uk/job/BKA871/research-associate-in-deep-learning-for-speech-recognition/>
   2.

   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.
   The position is funded by the Voicebase Centre for Speech and Language
   Technologies. Salaries are at University of Sheffield grade scales 7.1 -
   7.9, and the opening is for 2 years, with the possibility of extension.
   More details can be found at: https://www.jobs.ac.uk/job/BKA
   854/research-associate-in-multi-lingual-automatic-speech-recognition/
   <https://www.jobs.ac.uk/job/BKA854/research-associate-in-multi-lingual-automatic-speech-recognition/>
   3.

   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.
   4.

   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.

Research Studentships

   1.

   PhD in Multilingual Speech Recognition
   To work on novel deep learning methods for building recognition systems
   that can operate in several languages, methods for adapting recognition
   systems to languages with minimal data, methods that allow automatic
   inference of language attributes, or methods of unsupervised adaptation to
   new languages.
   Funding for 3 years, in the context of the Voicebase Centre for Speech
   and Language Technologies.
   2.

   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.
   3.

   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.
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