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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 BhashiniWhisper v2Google ChirpAzureMeta Seemless 4MT
We then evaluate them at https://gooey.ai/eval/?example_id=lc1f4ka1 (where you can see what works best....)
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10mo ago
Speech Recognition and Translation
Agent Builder
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Generate “People Also Ask” SEO Content
Create a perfect SEO-optimized Title & Paragraph
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Profile Lookup + GPT4 for AI-Personalized Emails
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Compare LLMs: GPT5.4, Deepseek3.2, Claude4.6, Gemini3.1, Apertus, Kimi 2.5 vs GLM5
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Run: Telugu Speech Recognition and Translation
Default
Swahili Intron Voice
Yoruba Intron Voice
English Intron Voice
Swahili Speech Recognition & Translation via Google Chirp & Translate
Azure - Hindi (Microsoft)
Azure - Telugu
Chirp - Telugu
Whisper Large v2 - Telugu
Seamless M4T Telugu-> EN
Whisper Large v3 - Telegu
Whisper Hindi Large v2 (Bhashini)
Speaker diarization via Deepgram
Kikuyu via MMS Large and GhanaNLP for Speech Reco & Trans
Seamless M4T v2 - Swahili -> EN
Google Cloud V1 - Swahili -> EN
Whisper Large v2 - Swahili -> EN
Whisper v3 - Swahili -> EN
Azure ASR (Swahili)
Whisper v3 (with english translation)
Whisper v2 (auto detect)
Chirp/USM (Google)
Bhojpuri Speech Recognition (using Gates/Ekstep)
English Speech Recognition and Translation
Run: Whisper Large v2 (openai) Speech Recognition and Translation
Run: Telugu (India) Speech Recognition and Translation
Run: Seamless M4T [Deprecated] (Facebook Research) Speech Recognition and Translation
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