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jtrmal / kaldi2020

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Questions from audience - deployment of ML models #13

Open leibny opened 4 years ago

leibny commented 4 years ago

Would there be a focus not only on the deep learning frameworks but also the deployment of ML models ahead of Kaldi?

kkm000 commented 4 years ago

If by "deployment" you mean building a production system based on the trained model, then very emphatic yes! See also https://github.com/jtrmal/kaldi2020/issues/32#issuecomment-702132424

Unlike many deployment scenarios (e. g., data analytics pipeline), ASR applications are much more diverse. Do you want real-time subtitling of the news, or a customer support robot helping someone with their order, or an in-car command and control system (play this song, navigate there)? These are all "deployments." As I understand, there are no plans for a generic one-fits-all "deployment," chiefly due to the sheer variety of scenarios in which Kaldi is currently used.