Artificial Neural Network (ANN) in a Small Dataset to determine Neutrality in the Pronunciation of English as a Foreign Language in Filipino Call Center Agents

@article{Baquirin2018ArtificialNN,
  title={Artificial Neural Network (ANN) in a Small Dataset to determine Neutrality in the Pronunciation of English as a Foreign Language in Filipino Call Center Agents},
  author={Rey Benjamin M. Baquirin and P. Fernandez},
  journal={Inteligencia Artif.},
  year={2018},
  volume={21},
  pages={134-144}
}
Artificial Neural Networks (ANNs) have continued to be efficient models in solving classification problems. In this paper, we explore the use of an A NN with a small dataset to accurately classify whet her Filipino call center agents’ pronunciations are neutral or not based on their employer’s standards. Isolated utterances of the ten most commonly used words in the call center were recorded from eleven agents creating a dataset of 110 utterances. Two learning specialists were consulted to… Expand

References

SHOWING 1-10 OF 18 REFERENCES
A study on robust detection of pronunciation erroneous tendency based on deep neural network
  • 22
  • PDF
Pronunciation learning for named-entities through crowd-sourcing
  • 11
  • PDF
Hidden Conditional Random Fields for phone recognition
  • 55
  • PDF
Comparison of different implementations of MFCC
  • 127
  • PDF
The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions
  • 1,935
  • PDF
Interrater reliability: the kappa statistic
  • 4,425
  • PDF
...
1
2
...