Perceptual evaluation remains the gold-standard evaluation of cleft speech, but with any human interpretation, there can be bias. Eliminating bias, allowing comparison of speech data between units, is labor and time intensive. Globally, there is a shortage of listeners. We have developed a computer learning system to evaluate cleft speech.Our automated cleft speech evaluator interprets resonance and articulatory cleft speech errors. Speech recognition engines typically ignore voice characteristics and speech errors of the speaker, but in cleft speech evaluation, these features are paramount.
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