I have been understanding flashlight for a while. Finetuning pretrained model is possible with flashlight.
Is transfer learning also possible? In my understanding, transfer learning comes to picture when the number of tokens on which acoustic model is trained differs from the number of tokens that we want the new model to work with. I want the acoustic model to work with phonemes instead of alphabets. Did anybody try this? Thanks in advance:)