Cloud-Based assistive speech-transcription services

  • Authors:
  • Zdenek Bumbalek;Jan Zelenka;Lukas Kencl

  • Affiliations:
  • R&D Centre for Mobile Applications (RDC), Department of Telecommunications Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic;R&D Centre for Mobile Applications (RDC), Department of Telecommunications Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic;R&D Centre for Mobile Applications (RDC), Department of Telecommunications Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic

  • Venue:
  • ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
  • Year:
  • 2012

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Abstract

Real-time speech transcription is a service of potentially tre- mendous positive impact on quality of life of the hearing-impaired. Recent advances in technologies of mobile networks, cloud services, speech transcription and mobile clients allowed us to build eScribe, a ubiquitiously available, cloud-based, speech-transcription service. We present the deployed system, evaluate the applicability of automated speech recognition using real measurements and outline a vision of the future enhanced platform, crowdsourcing human transcribers in social networks.