Postdoctoral Research Positions in

Speech Synthesis and Speech Recognition

The Centre for Speech Technology Research, University of Edinburgh

http://www.cstr.ed.ac.uk/opportunities/

Closing date: 18th November 2013

We have open postdoctoral research positions in speech recognition and speech

synthesis, which are part of the large UK project

Natural Speech Technology.

The topics of research to be undertaken in these positions is flexible. We encourage

applicants with their own research agenda, provided that it fits within the objective of the

project, which is to advance the state of the art in speech technology by making it more

natural, approaching human levels of reliability, adaptability, and conversational richness.

Speech Synthesis:

Our specific interests in speech synthesis include – but are not limited

to – the following:

• Machine learning for vocoding.

• Fluent speech synthesis.

• Shallow stochastic natural language generation to improve fluency.

• Beyond decision tree parameter tying, including neural network approaches or tree

intersect models.

• Use of synthetic speech in assistive technologies.

Speech Recognition:

Our specific interests in speech recognition include – but are not

limited to – the following:

• Wide domain coverage and models which make use of rich contexts.

• Cross-lingual speech recognition.

• Neural network models.

• Adaptation and canonical modelling techniques for acoustic or language modelling.

• Distant speech recognition.

• Approaches based on models incorporating articulatory data.

The

Centre for Speech Technology Research (CSTR) is an exciting, vibrant,

interdisciplinary research centre and a great place to work. We are part of the

University of

Edinburgh

(QS world ranking 17th) linking the world-class subject areas of Informatics /

computer science (QS world ranking 15th) and

Linguistics (QS world ranking 5th).

Founded in 1984, CSTR is concerned with research in all areas of speech technology

including speech recognition, speech synthesis, speech signal processing, information

access, multimodal interfaces and dialogue systems. We have many significant

collaborations with the wider community of researchers in speech science, language,

cognition and machine learning for which Edinburgh is renowned, and a wide network of

collaborators across the globe.

For further details, and links to the online application procedure please visit

http://www.cstr.ed.ac.uk/opportunities/

Informal enquiries about these positions should be made to Prof Steve Renals

(

s.renals@ed.ac.uk) or to Prof Simon King (Simon.King@ed.ac.uk).