2016
Exploring deep learning architectures for automatically grading non-native spontaneous speech
ICASSP 2016accepted
We investigate two deep learning architectures reported to have superior performance in ASR over the conventional GMM system, with respect to automatic speech scoring. We use an approximately 800-hour large-vocabulary non-native spontaneous English corpus to build three ASR systems. One system is in…