Large-Scale Domain Adaptation via Teacher-Student Learning
Large-Scale Domain Adaptation via Teacher-Student Learning
High accuracy speech recognition requires a large amount of transcribed data for supervised training.In the absence of such data, domain adaptation of a well-trained acoustic model can be performed, but even here, high accuracy usually requires significant labeled data from the target domain.In this work, we propose an approach to …