تقرير
Child Speech Recognition in Human-Robot Interaction: Problem Solved?
| العنوان: | Child Speech Recognition in Human-Robot Interaction: Problem Solved? |
|---|---|
| المؤلفون: | Janssens, Ruben, Verhelst, Eva, Abbo, Giulio Antonio, Ren, Qiaoqiao, Bernal, Maria Jose Pinto, Belpaeme, Tony |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Human-Computer Interaction, Computer Science - Robotics |
| الوصف: | Automated Speech Recognition shows superhuman performance for adult English speech on a range of benchmarks, but disappoints when fed children's speech. This has long sat in the way of child-robot interaction. Recent evolutions in data-driven speech recognition, including the availability of Transformer architectures and unprecedented volumes of training data, might mean a breakthrough for child speech recognition and social robot applications aimed at children. We revisit a study on child speech recognition from 2017 and show that indeed performance has increased, with newcomer OpenAI Whisper doing markedly better than leading commercial cloud services. While transcription is not perfect yet, the best model recognises 60.3% of sentences correctly barring small grammatical differences, with sub-second transcription time running on a local GPU, showing potential for usable autonomous child-robot speech interactions. Comment: Presented at 2024 International Symposium on Technological Advances in Human-Robot Interaction |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.17394 |
| رقم الأكسشن: | edsarx.2404.17394 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |