Today's Interspeech paper is of a different nature and is a result of collaboration with the English Studies Department at RWTH Aachen University. It focuses on the linguistic complexities present in non-native spontaneous speech, which is a frequent problem encountered in speech recognition applications, given that so much of today’s English audio content is produced by non-native speakers. The significance of this contribution also lies in the fact that there is a lack of publicly available databases and benchmark datasets for spontaneously produced non-native speech, as well as the considerable inter-individual variability of such speech.
Y. Qiao, W. Zhou, E. Kerz, R. Schlüter:
"The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech"
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