System and method for outlier identification to remove poor alignments in speech synthesis

摘要

#$%^&*AU2020205275A120200806.pdf#####ABSTRACT The present invention relates to a method and system for outlier identification to remove poor alignments in speech synthesis involving the steps of: generating alignments of the audio files at a phoneme level; generating alignments of the audio files at a syllable level; adjusting the alignments at the syllable level using group delay algorithms; separating each syllable from the audio files into a separate audio file; generating, for each separate audio file, phonemes of the separate audio files using phoneme boundaries for each syllable and an existing phoneme model; determining a likelihood value of each generated phoneme, wherein if the likelihood value meets a criteria, identifying the generated phoneme as an outlier; and identifying a sum of outliers for each sentence in the audio files, wherein if the sentence has more than a number of outliers, discarding the sentence from model training.