Automatic Recognition of Target Words in Infant-Directed Speech
Publication date
2020
Authors
van der Klis, Anika
Adriaans, F.W.
Han, M.
Kager, René
Editors
Advisors
Supervisors
Document Type
Part of book
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License
taverne
Abstract
This study assesses the performance of a state-of-the-art automatic speech recognition (ASR) system at extracting target words in two different speech registers: infant-directed speech (IDS) and adult-directed speech (ADS). We used the Kaldi-NL ASR-service, developed by the Dutch Foundation of Open Speech Technology. The results indicate that the accuracy of the tool is much lower in IDS than in ADS. There are differences between IDS and ADS which negatively affect the performance of the existing ASR system. Therefore, new tools need to be developed for the automatic annotation of IDS. Nevertheless, the ASR system can already find more than half of the target words, which is promising.
Keywords
infant-directed speech, automatic speech recognition, keyword extraction, speech registers, Taverne
Citation
van der Klis, A, Adriaans, F W, Han, M & Kager, R W J 2020, Automatic Recognition of Target Words in Infant-Directed Speech. in ICMI '20 Companion : Companion Publication of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery, New York, pp. 522, ACM International Conference on Multimodal Interaction, Utrecht, Netherlands, 25/10/20. https://doi.org/10.1145/3395035.3425184, conference