Syllable nucleus Durations Estimation using Linear Regression based ensemble model

@article{Lu2009SyllableND,
  title={Syllable nucleus Durations Estimation using Linear Regression based ensemble model},
  author={Jingli Lu and Ruili Wang and Liyanage C. De Silva and Yang Gao},
  journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2009},
  pages={4849-4852}
}
Unlike conventional automatic continuous speech segmentation models that deal with each boundary time-mark individually, in this paper, we propose an interval-data-based Linear Regression Model for syllable nucleus Durations Estimation (LRM-DE), which treats syllable boundary time-marks in pairs. This characteristic of LRM-DE makes it more suitable for… CONTINUE READING