Gartner Research

China Summary Translation: 'Competitive Landscape: Speech-to-Text Applications'

Published: 13 April 2018

ID: G00355420

Analyst(s): Adrian Lee


Speech-to-text providers operate in a saturated market catalyzed by chatbots and virtual assistants. Technology strategic planners must look beyond accuracy rates toward contextual awareness, domain specificity and custom training through machine learning to successfully increase market share.

Table Of Contents



Competitive Landscape: Speech-to-Text Applications

  • Key Findings
  • Recommendations


  • Competitive Situation and Trends
    • Machine-Learning Techniques Define STT Efficiency and Accuracy
    • Natural-Language Understanding Must Be UX-Centric
    • Accelerating Deployment Toward Success
  • Market Players
    • Specialist and Platform Providers Serve Different User Markets
  • The Future of Competition
  • Competitive Profiles
    • Amazon Web Services (Amazon Transcribe)
    • Baidu (DuerOS)
    • iFLYTEK (AIUI)
    • Kasisto (KAI)
    • Microsoft (Microsoft Cognitive Services)
    • Nuance (Nuance Recognizer)
  • References and Methodology
  • Definitions
    • Speech-to-Text Applications

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