Adapting End-to-End Speech Recognition for Readable Subtitles
Table 8: Word error rate and summarization quality by the models with length count-down. Adaptation results in large gains. The model with length encoding outperforms the baseline and the one with length embedding.
['[BOLD] Model', '[BOLD] Ratio (output to desired length)', '[BOLD] WER', '[BOLD] R-1', '[BOLD] R-2', '[BOLD] R-L']
While the baseline ASR model achieves some degree of compression after adaptation, it cannot fully comply with length constraints. Therefore, the following experiments examine the effects of training with explicit length count-downs.