April 29, 2024, 4:47 a.m. | Ruben Janssens, Eva Verhelst, Giulio Antonio Abbo, Qiaoqiao Ren, Maria Jose Pinto Bernal, Tony Belpaeme

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.17394v1 Announce Type: new
Abstract: 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 …

abstract architectures arxiv automated automated speech recognition availability benchmarks child children cs.cl cs.hc cs.ro data data-driven english fed human performance recognition robot shows speech speech recognition superhuman the way transformer type

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