Adding task-specific learned vectors to acoustic embeddings lets a transducer ASR model train on partially labeled data, matching or beating the fully labeled TokenVerse baseline on most tasks.
On two ways to use determi- nantal point processes for monte carlo integration,
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TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation
Adding task-specific learned vectors to acoustic embeddings lets a transducer ASR model train on partially labeled data, matching or beating the fully labeled TokenVerse baseline on most tasks.