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README.md
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## Model details
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The Swahili ASR is an end-to-end automatic speech recognition system that was finetuned on the Common Voice Corpus 11.0 Swahili dataset. This repository provides the necessary tools to perform ASR using this model, allowing for high-quality speech-to-text conversions in Swahili.
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## Intended Use
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This model is intended for any application requiring Swahili speech-to-text conversion, including but not limited to transcription services, voice assistants, and accessibility technology. It can be particularly beneficial in any context where demographic metadata (age, sex, accent) is significant, as these features have been taken into account during training.
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## Model details
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The Swahili ASR is an end-to-end automatic speech recognition system that was finetuned on the Common Voice Corpus 11.0 Swahili dataset. This repository provides the necessary tools to perform ASR using this model, allowing for high-quality speech-to-text conversions in Swahili.
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| EVAL_LOSS | EVAL_WER | EVAL_RUNTIME | EVAL_SAMPLES_PER_SECOND | EVAL_STEPS_PER_SECOND | EPOCH |
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|-------------------|--------------------|--------------|-------------------------|-----------------------|-------|
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| 0.345414400100708 | 0.2602372795622284 | 578.4006 | 17.701 | 2.213 | 4.17 |
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## Intended Use
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This model is intended for any application requiring Swahili speech-to-text conversion, including but not limited to transcription services, voice assistants, and accessibility technology. It can be particularly beneficial in any context where demographic metadata (age, sex, accent) is significant, as these features have been taken into account during training.
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