Quantifying time-varying coordination of multimodal speech signals using correlation map analysis.

@article{Barbosa2012QuantifyingTC,
  title={Quantifying time-varying coordination of multimodal speech signals using correlation map analysis.},
  author={A. V. Barbosa and R. D{\'e}cha{\^i}ne and E. Vatikiotis-Bateson and H. Yehia},
  journal={The Journal of the Acoustical Society of America},
  year={2012},
  volume={131 3},
  pages={
          2162-72
        }
}
This paper demonstrates an algorithm for computing the instantaneous correlation coefficient between two signals. The algorithm is the computational engine for analyzing the time-varying coordination between signals, which is called correlation map analysis (CMA). Correlation is computed around any pair of points in the two input signals. Thus, coordination can be assessed across a continuous range of temporal offsets and be detected even when changing over time due to temporal fluctuations… Expand
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