Improved subject-independent acoustic-to-articulatory inversion

@article{Afshan2015ImprovedSA,
  title={Improved subject-independent acoustic-to-articulatory inversion},
  author={Amber Afshan and Prasanta Kumar Ghosh},
  journal={Speech Communication},
  year={2015},
  volume={66},
  pages={1-16}
}
In subject-independent acoustic-to-articulatory inversion, the articulatory kinematics of a test subject are estimated assuming that the training corpus does not include data from the test subject. The training corpus in subject-independent inversion (SII) is formed with acoustic and articulatory kinematics data and the acoustic mismatch between training and test subjects is then estimated by an acoustic normalization using acoustic data drawn from a large pool of speakers called generic… CONTINUE READING

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Better acoustic normalization in subject independent acoustic-to-articulatory inversion: Benefit to recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2016
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