• Gooey.AI (Dara.network Inc)
  • Compare Telugu Speech Recognition

    In this bulk run example, we compare 5 different Gooey.AI speech recognition + translations workflows (https://gooey.ai/speech), each of which uses a different AI speech model:
    Whisper Telugu Bhashini
    Whisper v2
    Google Chirp
    Azure
    Meta Seemless 4MT

    We then evaluate them at https://gooey.ai/eval/?example_id=lc1f4ka1 (where you can see what works best....)


    Gooey Workflows

    Provide one or more Gooey.AI workflow runs.
    You can add multiple runs from the same recipe (e.g. two versions of your copilot) and we'll run the inputs over both of them.

    Speech Recognition and Translation

    Run: Speech Recognition and Translation

    Speech Recognition and Translation

    Run: Speech Recognition and Translation

    Speech Recognition and Translation

    Run: Speech Recognition and Translation

    Speech Recognition and Translation

    Run: Speech Recognition and Translation

    Speech Recognition and Translation

    Run: Speech Recognition and Translation


    Input Data Spreadsheet

    Upload or link to a CSV or google sheet that contains your sample input data.
    For example, for Copilot, this would sample questions or for Art QR Code, would would be pairs of image descriptions and URLs.
    Remember to includes header names in your CSV too.

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    Columns

    Please select which CSV column corresponds to your workflow's input fields.
    For the outputs, select the fields that should be included in the output CSV.
    To understand what each field represents, check out our API docs.

    Inputs

    Audio

    Outputs

    Evaluation Workflows

    (optional) Add one or more Gooey.AI Evaluator Workflows to evaluate the results of your runs.


    Run cost = 1 credits

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