Patent ID: 9601110
Date: 2017-03-21
CPC Classifications: G10L

Claim:
1. A computer-based, unsupervised training method for an N-gram language model, the method comprising: reading, by a computer, recognition results obtained as a result of speech recognition of speech data; acquiring, by the computer, a reliability for each of the read recognition results; referring, by the computer, to each recognition result's acquired reliability to select a subset of one or more N-gram entries for recognition results based upon their respective reliabilities; and training, by the computer, the N-gram language model for one or more entries of the subset of N-gram entries using all recognition results, wherein the referring includes selecting, by the computer, each of the N-gram entries, whose sum of a first number of appearances in a first corpus as a set of all the recognition results and a second number of appearances in a second corpus as a subset of the recognition results with the reliability higher than or equal to a predetermined threshold value exceeds a predetermined number of times.