The automatic analysis of classroom talk
Kronholm, H., Caballero, D., Mansikkaniemi, A., Araya, R., Lehesvuori, S., Pertilä, P., Virtanen, T., Kurimo, M., & Viiri, J. (2017). The automatic analysis of classroom talk. In Proceedings of the annual FMSERA symposium 2016 (pp. 142-151). Finnish Mathematics and Science Education Research Association (FMSERA). Proceedings of the FMSERA annual symposium. https://journal.fi/fmsera/article/view/60940/27049
Published inProceedings of the FMSERA annual symposium
© the Authors, 2017. This is an open access article distributed under the terms of a Creative Commons License.
The SMART SPEECH Project is a joint venture between three Finnish universities and a Chilean university. The aim is to develop a mobile application that can be used to record classroom talk and enable observations to be made of classroom interactions. We recorded Finnish and Chilean physics teachers’ speech using both a conventional microphone/dictator setup and a microphone/mobile application setup. The recordings were analysed via automatic speech recognition (ASR). The average word error rate achieved for the Finnish teachers’ speech was under 40%. The ASR approach also enabled us to determine the key topics discussed within the Finnish physics lessons under scrutiny. The results here were promising as the recognition accuracy rate was about 85% on average.
PublisherFinnish Mathematics and Science Education Research Association (FMSERA)
ConferenceFinnish Mathematics and Science Education Research Association annual symposium
Is part of publicationProceedings of the annual FMSERA symposium 2016
ISSN Search the Publication Forum2489-4583
Publication in research information system
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Except where otherwise noted, this item's license is described as © the Authors, 2017. This is an open access article distributed under the terms of a Creative Commons License.
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