Haitao Yao

Improving RNN Transducer Modeling for Small-Footprint Keyword Spotting

The recurrent neural network transducer (RNN-T) model has been proved effective for keyword spotting (KWS) recently. However, compared with cross-entropy (CE) or connectionist temporal classification (CTC) based models, the additional prediction network in the RNN-T model increases the model size an…