German Speech Recognition: A Solution for the Analysis and Processing of Lecture Recordings

Since recording technology has become more robust and easier to use, more and more universities are taking the opportunity to record their lectures and put them on the Web in order to make them accessable by students. The automatic speech recognition (ASR) techniques provide a valueable source for indexing and retrieval of lecture video materials. In this paper, we evaluate the state-of-the-art speech recognition software to find a solution for the automatic transcription of German lecture videos. Our experimental results show that the word error rates (WERs) was reduced by 12.8% when the speech training corpus of a lecturer is increased by 1.6 hours.

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