Data–selective Transfer Learning for Multi–Domain Speech Recognition
Table 3: WER(%) using data selection
['Method', 'RD', 'TV', 'CT', 'MT', 'TK', 'RS', 'Total']
The experiments with an automatic budget decistion were performed for both types of features, PLP and PLP+BN. The results showed that the use of an automatically derived threshold improved the results obtained with a fixed budget for both types of features, indicating that the proposed method could estimate the right amount of data to select for each target domain.