A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Table 1: Results for multi-domain RNN-T models.
['Exp ID', 'Train', 'VS', 'Num', 'MT']
First, we analyze the behavior of RNN-T when training with multi-domain (MD) data. (B0) is also listed. However, once we train with a domain-id (DI) in E2, performance across all 3 sets improves, and outperforms B0 on Num and MT.