ACOUSTIC MODEL ADAPTATION FROM RAW WAVEFORMS WITH SINCNET
Table 4: Results (% WER) on the PF-STAR test set given number of adaptation utterances when adapting from the AMI model. As the amount of data increases, adapting all parameters surpass only adapting the SincConv layer.
['[BOLD] Adapt/utts', '[BOLD] 0', '[BOLD] 1', '[BOLD] 2', '[BOLD] 3', '[BOLD] 20']
As the amount of data increases adapting all parameters (excluding SincConv) produces lower error rates, as should be expected. The models begin to diverge at about three utterances (roughly 1 minute for PF-STAR).