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In this bulk run example, we compare Gooey.AI speech recognition + translations workflows (https://gooey.ai/speech), each of which uses a different AI speech model:1) MMS Large + Google Translation2) Seamless M4T - WINNER!3) Google Chirp + Google TranslateWe then evaluate them at https://gooey.ai/eval/ (where you can see what works best....)
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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
NY-MMS ASR + Google MT
NY-ASR Google + Google MT
NY-ASR Seamless + Google MT
NY-Opportunity ASR + GoogleNLP MT
NY-Seamless ASR + Seemless MT
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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.
Documents
Audio
Raw Output Text
Run URL
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🧩 Developer Tools and Functions.URL
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🧩 Developer Tools and Functions.Trigger
⌥ Variables
Variables Schema
Speech-to-Text Provider
Language
👩💻 Prompt
Translation Model
Output Format
Google Translate Target
Source Translation Language
Target Translation Language
Translation Glossary
Price
Run Time
Error Msg
Output Text
(optional) Add one or more Gooey.AI Evaluator Workflows to evaluate the results of your runs.
Speech Recognition Model Evaluator
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⚙️ Settings
Run cost = 1 credits
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https://storage.googleapis.com/dara-c1b52.appspot.com/daras_ai/media/fff28a74-b5ad-11ef-9875-02420a0001f4/evaluator-20.csv
https://gooey.ai/eval/?run_id=aa1ktsy99abg&uid=kKZgp2h1H2YxZYxZ2DbiRfUfeDM2
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