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Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST).

Stuart Cunningham1, Phil Green1, Heidi Christensen1

  • 1University of Sheffield, United Kingdom.

Studies in Health Technology and Informatics
|September 7, 2017
PubMed
Summary
This summary is machine-generated.

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CloudCAST offers speech recognition services for assistive technology integration. This platform and its public API are detailed, with example applications showcasing its capabilities for developers and users.

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Speech recognition technology is crucial for developing advanced assistive tools.
  • Integrating robust speech recognition into assistive applications presents technical challenges.
  • The need for accessible and adaptable speech recognition platforms is growing.

Purpose of the Study:

  • To introduce the CloudCAST platform and its speech recognition services.
  • To describe the functionalities of the CloudCAST public API.
  • To demonstrate the platform's potential through exemplar applications.

Main Methods:

  • Description of the CloudCAST platform architecture.
  • Explanation of the public API endpoints and functionalities.
Keywords:
Disordered speechspeech technology

Related Experiment Videos

  • Development and presentation of several proof-of-concept applications.

    • Main Results:

    • The CloudCAST platform offers a suite of speech recognition services.
    • The public API enables seamless integration into various applications.
    • Exemplar applications successfully demonstrate the platform's utility.

    Conclusions:

    • CloudCAST provides a valuable resource for developing speech-enabled assistive technologies.
    • The platform's API facilitates innovation in assistive application development.
    • CloudCAST is poised to support a new generation of assistive tools.