17. Addressing Data Mismatch

1. try to understand difference between training and dev/test sets

2. make training data more similar or collect more data similar to dev/test sets.

- 녹음된 목소리 + 차 소음 = 합성된 데이터 similar to real data(dev, test sets) 

 

따라서 Data Mismatch를 해결할 방법은 인공 데이터 합성. make training data more similar to dev/test sets.