Corpus ID: 17358325

Automatic recognition of child speech for robotic applications in noisy environments

@article{Fernando2016AutomaticRO,
  title={Automatic recognition of child speech for robotic applications in noisy environments},
  author={Samuel Fernando and Roger K. Moore and David Cameron and Emily C. Collins and Abigail Millings and Amanda J. C. Sharkey and Tony J. Prescott},
  journal={ArXiv},
  year={2016},
  volume={abs/1611.02695}
}
  • Samuel Fernando, Roger K. Moore, +4 authors Tony J. Prescott
  • Published in ArXiv 2016
  • Computer Science
  • Automatic speech recognition (ASR) allows a natural and intuitive interface for robotic educational applications for children. However there are a number of challenges to overcome to allow such an interface to operate robustly in realistic settings, including the intrinsic difficulties of recognising child speech and high levels of background noise often present in classrooms. As part of the EU EASEL project we have provided several contributions to address these challenges, implementing our… CONTINUE READING

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    Multi3: Multi-Sensory Perception System for Multi-Modal Child Interaction with Multiple Robots

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    Child Speech Recognition in Human-Robot Interaction: Evaluations and Recommendations

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