Diehl, F and Woodland, PC (2012) Complementary Phone Error training. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, 3. pp. 2609-2612.Full text not available from this repository.
This paper introduces a novel method for the training of a complementary acoustic model with respect to set of given acoustic models. The method is based upon an extension of the Minimum Phone Error (MPE) criterion and aims at producing a model that makes complementary phone errors to those already trained. The technique is therefore called Complementary Phone Error (CPE) training. The method is evaluated using an Arabic large vocabulary continuous speech recognition task. Reductions in word error rate (WER) after combination with a CPE-trained system were obtained with up to 0.7% absolute for a system trained on 172 hours of acoustic data and up to 0.2% absolute for the final system trained on nearly 2000 hours of Arabic data.
|Uncontrolled Keywords:||Acoustic model training Complementary models Discriminant training Speech recognition System combination|
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||16 Jul 2015 14:04|
|Last Modified:||05 Sep 2015 00:59|