TensorFlowASR makes it quite easy to train and deploy almost SOTA ASR models, but it provides a pretrained model only in English. On the other hand, FAIR has recently published an open and free dataset in 8 languages (see the paper). It is in the public domain and of a large size, and has the same quality as LibriSpeech. So, my suggestion is form a volunteer working group to collaborate on training ASR models in multiple languages and share them publically.
Maintainers of the repo can pin the issue and label it with help-wanted for visibility if this idea makes sense.
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TensorFlowASR makes it quite easy to train and deploy almost SOTA ASR models, but it provides a pretrained model only in English. On the other hand, FAIR has recently published an open and free dataset in 8 languages (see the paper). It is in the public domain and of a large size, and has the same quality as LibriSpeech. So, my suggestion is form a volunteer working group to collaborate on training ASR models in multiple languages and share them publically.
Maintainers of the repo can pin the issue and label it with help-wanted for visibility if this idea makes sense.