Automatic detection of change in speaker in speaker adaptive speech recognition system

摘要

In many real applications such as voice control in vehicles there is the problem that the users change relatively frequently. Then the question arises: which is the correct data set for the current user? The invention provides a process making it possible automatically for the duration of operation of the system to recognize whether the speaker changes, or which (speaker dependent) data set is correct for the actual user. This task is solved by a speech recognition system which is based on a so-called Semi-Continuous Hidden Markov Model (SCHMM). Codebooks are produced, normal distribution is represented, speaker-specific data sets are stored in addition to a so-called base-line data set, and the inventive speech recognition system correlates the speech signal by means of vector quantitization with the speaker-independent and the speaker-dependent codebooks, making it possible to ascertain the identity of the speaker.