Patent Document ID: 8543398
Application ID: 13666223

Base Claim:
1. A method comprising: obtaining, at a computing system, respective word frequencies f i from a corpus of utterance-to-text-string mappings, wherein the corpus of utterance-to-text-string mappings contains associations between audio utterances and respective text string transcriptions of the audio utterances, and wherein the respective word frequencies f i are based on occurrences of words in the text string transcriptions; determining respective compressed word frequencies c i by raising each of the respective word frequencies f i to a power m, wherein m<1 and c i =f i m ; selecting sample utterance-to-text-string mappings from the corpus of utterance-to-text-string mappings based on the respective compressed word frequencies c i ; and training an automatic speech recognition (ASR) system with the sample utterance-to-text-string mappings.

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Claim 5:
5. The method of claim 1 , wherein selecting the sample utterance-to-text-string mappings from the corpus of utterance-to-text-string mappings based on the compressed word frequencies c i comprises: determining a first word selection probability for a first word based on a first compressed word frequency of the first word divided by a first word frequency of the first word, wherein the sample utterance-to-text-string mappings include a particular utterance mapped to a particular text string, and wherein the particular text string contains the first word; and selecting the particular utterance based on the first word selection probability.