Patent ID: 7107214
Filing Date: 2006-09-12
Classification: G10L

Abstract:
1. A model adaptation apparatus for adapting a model used in pattern recognition in which input data in the form of a time series is classified into one of a predetermined number of models, said apparatus comprising: data extraction means for extracting input data corresponding to a predetermined model, observed during a predetermined interval, and then outputting the extracted data, wherein said data extraction calculates an ambient noise characteristic representing ambient noise from a first noise observation interval for improved input data extraction; and a model adaptation means for adapting said predetermined model using said data extracted during said predetermined interval by means of one of the maximum likelihood method, the mixed statistic method, and the minimum distance-maximum separation theorem; wherein said model adaptation means adapts an acoustic model for ambient noise during a second noise observation interval that ends when a speech switch is turned on when a user starts speech, wherein said adaptation of said acoustic model is for improved noise identification, and wherein said first noise observation interval and said second noise observation interval are separate and contiguous intervals.