ACCURACY OF TEXT-TO-SPEECH SYNTHESIS

According to a first example configuration, a pair of text-to-speech synthesizers produces audio representations for each of multiple words. The outputs are compared to identify instances in which a lexicon lookup algorithm and a grapheme-to-phoneme algorithm produce different audio representations for the same words. Results of the analysis are used to train a classifier that subsequently determines a degree to which a grapheme-to-phoneme algorithm is likely to detect a newly detected out-of-vocabulary word to be converted into an audio representation. According to a second example configuration, a text analyzer tags a non-standard word. A group of reviewers generate one or more proposed text-to-speech expansion rules for a detected non-standard word. When there is a high amount of agreement amongst the reviewers how to expand the non-standard word, the proposed expansion rule is published for use by respective one or more text-to-speech synthesizers.