Patent Document ID: 20160365085
Application ID: 14737080
Patent Status: 0

Claim One:
1. A method for identifying outlying results in audio files used for model training, in a text-to-speech system, applying fundamental frequency, the method comprising the steps of: a. extracting values of the fundamental frequencies from the audio files; b. generating alignments using the extracted values from the audio files; c. separating out instances of phonemes; d. determining, for each separated instance, an average fundamental frequency value and an average duration value; e. identifying an instance as an outlier, wherein an outlier is identified if: i. the phoneme is a vowel; ii. the average fundamental frequency of an instance is less than a predetermined value; iii. the duration of the instance is greater than twice the average duration of a phoneme; and iv. the duration of the instance is less than half of the average duration of a phoneme; and f. 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 in the audio files from model training.