Non-linear Speech Transition Visualization
نویسندگان
چکیده
Modelling context eeects and segmental transitions in speech recognition systems is very important. Explicitly modelling segmental transitions in a RNN framework would circumvent these problems. We present an interesting application of Principal Curves, an algorithm to extract a non-linear summary of p-dimensional data rstly published in 1989 by Hastie/Stuetzle. The algorithm can be used to visualize non-linear transient characteristics in speech. We will show that between-phone characteristics found within diphones can be used as discriminant information to distinguish ambiguous phones. The technique used is explained and illustrated on the examples /bah/, /dah/ and /gah/.
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