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(Updated Dec 2025)
This workflow benchmarks multiple Swahili (Kiswahili) speech-to-text pipelines on the same audio dataset. It compares GPT‑4o audio, Jacaranda GPT‑5.1, Gemini 3 Pro, Omni and Swahili → English pipelines with Google Machine Translation.
Swahili audio & reference transcripts from Google SheetsAutomated evaluator: compare-output-text-from-input_audio for text similarity and quality scoring.
Ideal for teams comparing Swahili speech recognition, Swahili audio transcription, and Swahili → English translation for call centers, media, education, and African-language AI applications.
Keywords: Swahili speech-to-text, Kiswahili ASR, Swahili audio transcription, Swahili to English translation, Jacaranda AI Swahili, GPT‑4o audio Swahili, Gemini Pro Swahili transcription, Google MT Swahili.
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0 GPT-4oAudio: Swahili (A2T)
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1 GPT-Realtime Swahili (A2T)
2 Jacaranda + GPT5.1 -Swahili (A2T)
3 Jacaranda + Gemini3Pro -Swahili (A2T)
4 Jac +GPT5.1 +Goog MT Swahili
5 Omni+GPT5.1+GoogMT - Swahili
6 Omni + Gem3Pro - Swahili
7 Omni +Gem3Pro +GoogMT - Swahili
8 Gemini 3 Pro Swahili (A2T)
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Output Audio
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Raw Tts Text
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Compare Output Text (from input_audio)
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