A blind algorithm for recovering articulator positions from acoustics

MIMICRI is a signal-processing algorithm that has been shown to blindly infer and invert memoryless nonlinear functions of unobservable bandlimited signals, such as the mapping from the unobservable positions of the speech articulators to observable speech sounds. We review results of using MIMICRI on toy problems and on human speech data. We note that MIMICRI requires that the user specify two parameters: the dimensionality and pass-band of the unobservable signals. We show how to use cross-validation to help estimate the passband. An unexpected consequence of this work is that it helps separate signals with overlapping frequency bands.