Patent ID: 6041296
Filing Date: 2000-03-21
Classification: G10L

Abstract:
A method of deriving characteristic values from a speech signal, comprising the steps of:a) dividing a speech signal into periods of time;b) forming a power density spectrum via discrete frequencies of the periods of time of the speech signal;c) forming the first three autocorrelation coefficients for a predetermined first number K of consecutive segments of the power density spectrum;d) forming an error value from autocorrelation coefficients for each segment and summing the error values of all segments;e) repeating the formation of the autocorrelation coefficients and the error values for different boundarys between the segments and determining the optimum boundary frequencies at which the sum of the error values has a minimum;f) deriving at least a characteristic value for each segment from the autocorrelation coefficients of the segments of the optimum boundary frequencies; andg) processing the at least one characteristic value for each segment for speech recognition.