Unsupervised learning for speech motion editing

@inproceedings{Cao2003UnsupervisedLF,
  title={Unsupervised learning for speech motion editing},
  author={Yong Cao and Petros Faloutsos and Fr{\'e}d{\'e}ric H. Pighin},
  booktitle={Symposium on Computer Animation},
  year={2003}
}
We present a new method for editing speech related facial motions. Our method uses an unsupervised learning technique, Independent Component Analysis (ICA), to extract a set of meaningful parameters without any annotation of the data. With ICA, we are able to solve a blind source separation problem and describe the original data as a linear combination of two sources. One source captures content (speech) and the other captures style (emotion). By manipulating the independent components we can… CONTINUE READING
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