autoEdit 2 Documentation
1.0.6
1.0.6
  • Introduction
  • Overview
    • Intro
      • High-level overview of the parts
      • from 1.0.5 to 1.0.6
      • Project folder structure
    • Support the project
  • Transcriptions
    • Transcriptions intro
    • Transcription json
    • Transcriber
      • audio to video
      • STT sdks
        • IBM Watson STT
        • Gentle STT
        • Pocketsphinx
    • Read metadata
    • Video preview conversion
    • Hypertranscript
  • Papercuts
    • Papercuts
      • Selections
      • Annotations
      • Tags
  • Paper-edit
    • Paper-edit
      • Paper-edit json
      • search-filter
      • drag-and-drop
      • video-preview
  • Export
    • Export
      • EDL export
      • XML export
  • Appendix
    • Dev configuration
    • Deployment/build
      • Deployment/build for Max OS X
      • Deployment / Build for Linux
      • Deployment / Build for Windows
    • Dependencies
    • Current db setup
    • EDL Format
    • Reusable components
    • Prerequisites
    • JQuery and NWJS Packaging
    • Roadmap
      • Paper-editing Roadmap
      • Extra Features Roadmap
      • Future Roadmap
        • Live video editing
        • Social Media Export
        • Translate transcriptions
        • Web app
          • Multi-user collaboration
        • Searchable Editable Archive
        • NLP insights
        • Slack/Chat bot integration
        • Interactive dev tool
        • Phone mms integration with twillio
        • B-roll computational photography
    • Paper-editing Roadmap
    • Testing
    • Updating automated documentation
    • History of autoEdit versions over time
    • ffmpeg and ffprobe in electron
  • Appendix - Data structures
    • IBM Watson json specs
    • Gentle Json transcription specs
    • Pocketsphinx results
    • autoEdit transcription Json
  • QA List
    • QA Intro
    • QA Launch App
    • QA Transcriptions
    • QA Paperedits
    • QA Export
  • Methods
    • Example: Defining Methods
  • Adobe Panel
    • autoEdit Adobe CEP Panel dev setup
    • autoEdit Adobe CEP Panel integration overview
    • Adobe CEP Jsx functions for autoEdit adobe Panel
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  1. Appendix - Data structures

IBM Watson json specs

Previousffmpeg and ffprobe in electronNextGentle Json transcription specs

Last updated 6 years ago

{
  "results": [
    {
      "alternatives": [
        {
          "word_confidence": [
            [
              "good",
              0.52266540965618
            ],
            [
              "sign",
              0.89689802653416
            ],
            [
              "that's",
              0.33068099683986
            ],
            [
              "a",
              0.50049249829394
            ],
            [
              "really",
              0.92257759174313
            ],
            [
              "big",
              0.3309017279039
            ],
            [
              "deal",
              0.060633448667329
            ],
            [
              "Lenormand",
              0.27524941044761
            ],
            [
              "door",
              0.55675870253254
            ],
            [
              "is",
              0.99999999999996
            ],
            [
              "one",
              0.99999999999995
            ],
            [
              "with",
              0.82833913604084
            ],
            [
              "a",
              0.54441580608657
            ],
            [
              "design",
              0.95057876073007
            ],
            [
              "told",
              0.43942960858989
            ]
          ],
          "confidence": 0.621,
          "transcript": "good sign that's a really big deal Lenormand door is one with a design told ",
          "timestamps": [
            [
              "good",
              0.13,
              0.33
            ],
            [
              "sign",
              0.33,
              0.68
            ],
            [
              "that's",
              0.68,
              0.95
            ],
            [
              "a",
              0.95,
              1
            ],
            [
              "really",
              1,
              1.49
            ],
            [
              "big",
              1.52,
              1.81
            ],
            [
              "deal",
              1.81,
              2.12
            ],
            [
              "Lenormand",
              2.59,
              3.07
            ],
            [
              "door",
              3.07,
              3.32
            ],
            [
              "is",
              3.32,
              3.5
            ],
            [
              "one",
              3.5,
              3.75
            ],
            [
              "with",
              3.75,
              3.9
            ],
            [
              "a",
              3.9,
              3.93
            ],
            [
              "design",
              3.93,
              4.41
            ],
            [
              "told",
              4.41,
              4.68
            ]
          ]
        }
      ],
      "final": true
    }
  ],
  "result_index": 0
}

see also under response.

API reference
IBM API reference
IBM speech to text in documentation
example in api reference