Speaker Adaptation for End-to-End CTC Models
Table 8: WERs (%) for unsupervised KLD regularization adaptation for the mix-unit CTC model on the 7-speaker set.
['Adapt. type', '# of utt.', '[ITALIC] α=0', '[ITALIC] α=0.2', '[ITALIC] α=0.5', '[ITALIC] α=0.8']
Consistent with the supervised scenario, adapting hidden layers provides the best WER (16.14%) and the relative WERR is 3.70% on 200 utterance with α=0.0. In general, adapting all hidden layers performs the best.