Speech and Language Processing

Manual operation of hearing assistive devices is cumbersome in various situations. With advances in machine learning and speech technology, voice interfaces due to their convenience will be widely deployed for hearing assistive devices and they can be personalized and offer richer functionalities. Hearing assistive devices are characterized by strict memory and computational complexity constraints and the fact that they are expected to operate flawlessly, even in acoustically challenging situations.

Lead Speech Recognition Engineer

Location: Cambridge, UK

Contact: careers@speechmatics.com

Background

EMR.AI Inc., San Francisco, CA

RESEARCH SCIENTIST, SPEECH RECOGNITION

Experience IT – Intuitive Technology: this principle guides our work at the European Media Laboratory. We are an IT enterprise, based in Heidelberg, Germany, focusing on the automatic conversion of speech into text for a variety of markets. Speech technologists and IT specialists research, develop and use state-of-the-art large-vocabulary automatic speech recognition technologies, including deep learning, to convert spoken audio into structured textual data and actions.

Senior Speech Recognition Engineer

Location:         Cambridge, UK

Background

Lead Speech Recognition Engineer

Location:         Cambridge, UK

Background

Department of Computer Science, University of Crete, Greece

Post-doctoral Research Associate in Advanced Deep Neural network Architectures for ASR

(Fixed Term)

SALARY: €24000-€28000 per year

CLOSING DATE: 30 June 2017

REFERENCE: ASR1

TO APPLY: Send detailed CV, a motivation letter and 3 major publications to yannis@csd.uoc.gr

Department of Computer Science, University of Crete, Greece

Post-doctoral Research Associate in Data Augmentation in the context of Deep Neural network ASR

(Fixed Term)

SALARY: €24000-€28000 per year

CLOSING DATE: 30 June 2017

REFERENCE: ASR2

Experience IT – Intuitive Technology: this principle guides our work at the European Media Laboratory. We are an IT enterprise, based in Heidelberg, Germany, focusing on the automatic conversion of speech into text for a variety of markets. Speech technologists and IT specialists research, develop and use state-of-the-art large-vocabulary automatic speech recognition technologies, including deep learning, to convert spoken audio into structured textual data and actions.