Method and apparatus for interpretation of time-varying signals

Claim 1

A speech interpreter system comprising word boundary detector means for identifying the beginning and end of a speech utterance, spectrum analyzer means having a plurality of filters, said speech utterance being the input to said analyzer, coding compressor means coupled to the output of said analyzer means and gated by said boundary detector for recoding the output of said analyzer as a function of the rate of change of the time-varying speech utterance data, said compressor means reducing each individual speech utterance to a sequence of fixed number of pseudospectra regardless of the length of said utterance, and pattern classifier means coupled to the output of said compressor means for comparing said output to a set of previously derived reference functions.

Claim 8

A system for interpreting time-varying signal data comprising a spectrum analyzer having a plurality of filters for analyzing said time-varying signal data, a boundary detector for identifying the beginning and end of individual components of said signal data, coding compressor means for reducing each individual signal data to a sequence of a fixed number of pseudospectra coupled to the output of said spectrum analyzer and gated by said boundary detector for recoding said signal data as a function of the rate of change of said data, and a pattern classifier for comparing the output of said coding compressor to a set of previously derived reference functions.

Claim 9

A system for interpreting time-varying signal data comprising a spectrum analyzer having a plurality of filters for analyzing said time-varying signal data, a boundary detector for identifying the beginning and end of individual components of said signal data, coding compressor means for reducing each individual signal data to a sequence of a fixed number of pseudospectra coupled to the output of said spectrum analyzer and gated by said boundary detector for recoding said signal data as a function of the rate of change of said data, and a pattern classifier for comparing the output of said coding compressor to a set of previously derived reference functions.

Claim 14

A system for compressing time-varying signal data for the purpose of pattern recognition comprising a boundary detector for identifying the beginning and end of individual components of said signal data, and coding compressor means for accepting said identified signal data and recoding said signal data as a function of the rate of change of said data, said compressor means reducing each individual signal data to a sequence of fixed number of pseudospectra regardless of the length of said data, said coding compressor having a data format output adapted for pattern recognition purposes.

Claim 15

A system for compressing time-varying signal data for the purpose of pattern recognition comprising a boundary detector for identifying the beginning and end of individual components of said signal data, and coding compressor means for accepting said identified signal data and recoding said signal data as a function of the rate of change of said data, said compressor means reducing each individual signal data to a sequence of fixed number of pseudospectra regardless of the length of said data, said coding compressor having a data format output adapted for pattern recognition purposes.

Claim 16

A method of interpretation which comprises spectrally analyzing a speech utterance to obtain a data array of a plurality of frequencies, gating said data array by means of a word boundary detector to a spectral data array, computing the differences between successive spectra in said spectral data array, storing said differences in a spectral difference register to obtain a spectral difference curve, summing all elements of the spectral difference register in a spectral difference accumulator to yield a total spectral difference, obtaining a spectral difference increment by dividing said total spectral difference by a predetermined fixed number of time increments to which the spectra are to be compressed, averaging the spectra stored in said spectral data array corresponding to the time-duration of each spectral difference increment to obtain a single pseudospectral value for each filter, transferring said psuedospectral values to a compressed data array, and comparing the data in the compresses data array to a set of previously derived reference functions in a pattern classifier.

Claim 17

A method of interpretation which comprises spectrally analyzing a speech utterance to obtain a data array of a plurality of frequencies, gating said data array by means of a word boundary detector to a spectral data array, computing the differences between successive spectra in said spectral data array, storing said differences in a spectral difference register to obtain a spectral difference curve, summing all elements of the spectral difference register in a spectral difference accumulator to yield a total spectral difference, obtaining a spectral difference increment by dividing said total spectral difference by a predetermined fixed number of time increments to which the spectra are to be compressed, averaging the spectra stored in said spectral data array corresponding to the time-duration of each spectral difference increment to obtain a single pseudospectral value for each filter, transferring said psuedospectral values to a compressed data array, and comparing the data in the compresses data array to a set of previously derived reference functions in a pattern classifier.