DISTRIBUTED VOICE RECOGNITION SYSTEM USING ACOUSTIC FEATURE VECTOR MODIFICATION

摘要

A voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model (238). An adaptation engine (224) matches a set of acoustic feature vectors X with an adaptation model (228) to select a speaker-dependent feature vector modification function f(), which is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model (238).