{
  "name": "AAPB-PUA Kaldi Wrapper",
  "description": "A CLAMS wrapper for Kaldi-based ASR software originally developed by PopUpArchive and hipstas, and later updated by Kyeongmin Rim at Brandeis University. Wrapped software can be found at https://github.com/brandeis-llc/aapb-pua-kaldi-docker . ",
  "app_version": "v2",
  "mmif_version": "1.0.0",
  "analyzer_version": "v4",
  "app_license": "Apache 2.0",
  "analyzer_license": "UNKNOWN",
  "identifier": "http://apps.clams.ai/aapb-pua-kaldi-wrapper/v2",
  "url": "https://github.com/clamsproject/app-aapb-pua-kaldi-wrapper",
  "input": [
    [
      {
        "@type": "http://mmif.clams.ai/vocabulary/AudioDocument/v1",
        "required": true
      },
      {
        "@type": "http://mmif.clams.ai/vocabulary/VideoDocument/v1",
        "required": true
      }
    ]
  ],
  "output": [
    {
      "@type": "http://mmif.clams.ai/vocabulary/TextDocument/v1"
    },
    {
      "@type": "http://mmif.clams.ai/vocabulary/TimeFrame/v1",
      "properties": {
        "timeUnit": "milliseconds"
      }
    },
    {
      "@type": "http://mmif.clams.ai/vocabulary/Alignment/v1"
    },
    {
      "@type": "http://vocab.lappsgrid.org/Token"
    }
  ],
  "parameters": [
    {
      "name": "use_speech_segmentation",
      "description": "When true, the app looks for existing TimeFrame { \"frameType\": \"speech\" } annotations, and runs ASR only on those frames, instead of entire audio files.",
      "type": "boolean",
      "default": true,
      "multivalued": false
    }
  ]
}