Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features

@inproceedings{Jiao2016AccentIB,
  title={Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features},
  author={Yishan Jiao and Ming Tu and V. Berisha and J. Liss},
  booktitle={INTERSPEECH},
  year={2016}
}
  • Yishan Jiao, Ming Tu, +1 author J. Liss
  • Published in INTERSPEECH 2016
  • Computer Science
  • Automatic identification of foreign accents is valuable for many speech systems, such as speech recognition, speaker identification, voice conversion, etc. [...] Key Method Each speech sample is processed into multiple speech segments with equal length. For each segment, deep neural networks (DNNs) are used to train on long-term statistical features, while recurrent neural networks (RNNs) are used to train on short-term acoustic features. The result for each speech sample is calculated by linearly fusing the…Expand Abstract
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