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If you're training from scratch around 10k hours is needed to get a good model, but when you are transfer learning you don't need nearly that much (100 hours ge
by stephensonsco 8y ago
If you're training from scratch around 10k hours is needed to get a good model, but when you are transfer learning you don't need nearly that much (100 hours gets you a lot).
We excel in phone call and meetings settings. I.e. the typical sales/office/support environment.
- metildaa 8y agoBaidu trained their DeepSpeech model with 6000 hours of English to get a model similarly accurate to Google/Microsoft, it may just be the type of quick model your using that needs 10k hours to achieve good results. Mozilla's DeepSpeech is quite interesting, languages like Turkish can get a decently usable (~20% WER) model with just 80hrs of training data (no transfer learning, starting from a clean slate).
- stephensonsco 8y agoYep, all good points. One thing to consider is that generalization is a big problem. It's easy to get good on a specific dataset nowadays (like 5-10% word error rate level on academic datasets), but that same model might do 40% WER on data in the wild.