Triphone State-Tying via Deep Canonical Correlation Analysis

@inproceedings{Wang2016TriphoneSV,
  title={Triphone State-Tying via Deep Canonical Correlation Analysis},
  author={Weiran Wang and Hao Tang and Karen Livescu},
  booktitle={INTERSPEECH},
  year={2016}
}
Context-dependent phone models are used in modern speech recognition systems to account for co-articulation effects. Due to the vast number of possible context-dependent phones, statetying is typically used to reduce the number of target classes for acoustic modeling. We propose a novel approach for state-tying which is completely data dependent and requires no domain knowledge. Our method first learns low-dimensional embeddings of context-dependent phones using deep canonical correlation… 

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