Congolese Swahili speech-to-text model

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    • File Size 318.70 MB
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    • Create Date August 23, 2021
    • Last Updated September 7, 2021

    Congolese Swahili speech-to-text model

    Speech-to-Text models for Congolese dialect of Swahili Language. Contains acoustic and language models to be used with deepspeech based ASR.

    Acoustic model was trained on Gamayun audio mini-kit and TICO-19 testset using Coqui STT v0.10.0a13.

    Total train size: 8.93 (mini-kit) + 3.27 (TICO-19 testset) = 12.2 hours
    Dev size: 0.49 hours (mini-kit)
    Test size: 1.71 hours (TICO-19 devset)

    Contains two language models (scorers):

    • General purpose language model (swc-general.scorer) is trained on a 37.7M word mixed Swahili text corpus
    • Commands language model (swc-commands.scorer) is trained on 12 commands (numbers from 1 to 10 and yes/no) which are listed in `vocab-commands.txt`.

    Recognition accuracy:

    Developer: Alp Öktem

    Disclaimer: This model is not tested in production and is provided as-is without any warranty.

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