An automatic speech recognition system for helping visually impaired children to learn Braille

@article{Ramlrez2016AnAS,
  title={An automatic speech recognition system for helping visually impaired children to learn Braille},
  author={Melissa Ramlrez and Miguel Sotaquir{\'a} and Alberto de la Cruz and Esther Gonz{\'a}lez Mar{\'i}a and Gustavo Avellaneda and Ana Ochoa},
  journal={2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)},
  year={2016},
  pages={1-4}
}
We present an automatic speech recognition (ASR) system which, along with a haptic interface, is aimed at helping preschool children to learn Braille. The ASR algorithm extracts a set of Mel-Frequency Cepstral Coefficients (MFCC) from the speech signal, followed by a Dynamic Time Warping (DTW) approach, thus allowing to recognize vowels pronounced by the user. The ASR algorithm was tested on 9 subjects and its sensitivity was measured in terms of the percentage of true positives. The highest… CONTINUE READING

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