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Audio transcription — Step-by-step instructions

The challenge

We have a set of audio recordings and we need to obtain a transcription of each recording. We ask performers to listen to the recordings and type what they hear. Here’s what it might look like:

Video: 7 basic steps to run a project

Create
a project

Create
an exam pool

Create
a task pool

Upload a file
with data

Create
control tasks

Launch
the pool

Get the
results

Download PDF guide

Open in GitHub

Open in Colab

Create a project

Interface code


{
  "vars": {
    "validString": {
      "type": "condition.all",
      "conditions": [
        {
          "type": "condition.schema",
          "schema": {
            "type": "string",
            "pattern": "^[a-zA-Z\\*\\s]{1,}$"
          }
        }
      ],
      "hint": "Use only lowercase letters and spaces"
    }
  },
  "view": {
    "type": "view.list",
    "items": [
      {
        "type": "view.audio",
        "validation": {
          "type": "condition.played-fully",
          "hint": "You didn't listen to the recording"
        },
        "url": {
          "type": "data.input",
          "path": "audio"
        }
      },
      {
        "type": "view.text"
      },
      {
        "type": "field.text",
        "label": "Transcription text",
        "data": {
          "type": "data.output",
          "path": "result_unformat"
        },
        "validation": {
          "$ref": "vars.validString"
        }
      }
    ]
  },
  "plugins": [
    {
      "type": "plugin.trigger",
      "onChangeOf": {
        "type": "data.output",
        "path": "result_unformat"
      },
      "action": {
        "type": "action.set",
        "data": {
          "type": "data.output",
          "path": "result"
        },
        "payload": {
          "type": "helper.text-transform",
          "transformation": "lowercase",
          "data": {
            "type": "helper.replace",
            "data": {
              "type": "data.output",
              "path": "result_unformat"
            },
            "find": "/(\\s{2,})/",
            "replace": " "
          }
        }
      }
    },
    {
      "type": "plugin.toloka",
      "layout": {
        "kind": "scroll",
        "taskWidth": 900
      }
    },
    {
      "type": "plugin.hotkeys",
      "q": {
        "type": "action.play-pause",
        "view": {
          "$ref": "view.items.0"
        }
      }
    }
  ]
}

Create an exam pool

Exam dataset

Prepare a TSV file with tasks as shown in our example.
Origin
Valentini-Botinhao, Cassia. (2017). Noisy speech database for training speech enhancement algorithms and TTS models, 2016 [sound]. University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR). https://doi.org/10.7488/ds/2117.
License: CC BY 4.0

Create a task pool

Upload a file with data

Dataset

Prepare a TSV file with tasks as shown in our example.
You can also upload a file that already contains golden sets: example.
Origin
Valentini-Botinhao, Cassia. (2017). Noisy speech database for training speech enhancement algorithms and TTS models, 2016 [sound]. University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR). https://doi.org/10.7488/ds/2117.
License: CC BY 4.0

Create control tasks

Dataset with control tasks

You can upload a file that already contains golden sets: example.
Origin
Valentini-Botinhao, Cassia. (2017). Noisy speech database for training speech enhancement algorithms and TTS models, 2016 [sound]. University of Edinburgh. School of Informatics. Centre for Speech Technology Research (CSTR). https://doi.org/10.7488/ds/2117.
License: CC BY 4.0

Create a project

Create an exam pool

Create a task pool

Upload a file with data

Create control tasks

Launch the pool

Get the results