US 4,905,285 A · Analysis arrangement based on a model of human neural responses

Abstract

A sensory type pattern such as a speech or other sound pattern is analyzed to obtain the spectral distribution of the neural response thereto. A plurality of logarithmically related neural response intensity threshold signals is formed. The frequency spectrum of the sensory type pattern is divided into a plurality of overlapping spectral portions and the waveform of each prescribed spectral portion is partitioned into successive time segments. For the current time segment of each spectral portion waveform, the time intervals between crossings of the neural response intensity threshold level signals by the spectral portion waveform are detected and signals representative of the counts of inverse time intervals between the crossings of the plurality of levels are generated to form an inverse time interval histogram for the spectral portion. The inverse time interval histogram signals for the plurality of spectral portions are combined to produce a signal corresponding to the spectral distribution of the neural response to the sensory type pattern of the time segment.

Claims41

Dependent claims

A method for analyzing a sensory type pattern comprising:

receiving a sensory type pattern;
dividing the frequency spectrum of the waveform of the received sensory type pattern into a plurality of spectral portions;
partitioning each spectral portion of the received sensory type pattern into successive time segments;
defining threshold levels of intensity of each such partitioned spectral portion for which crossings are to be detected, said levels corresponding one-to-one to sensory neutral response intensity levels;
detecting the crossings of each such threshold level of intensity and determining the inverse time intervals therebetween;
classifying said inverse time intervals;
generating a signal representative of the classification of inverse time intervals for each partitioned spectral portion;
and
producing a signal representative of the distribution of the generated classification signals for the current time segment waveform of the sensory type pattern.

6 more elements

Apparatus for analyzing a sensory type pattern comprising:

means for receiving a sensory type pattern;
means for dividing the frequency spectrum of the received sensory type pattern into a plurality of spectral portions;
means for partitioning each spectral portion of the received sensory type pattern into successive time segments;
means for defining threshold levels of intensity of each such partitioned spectral portion for which crossings are to be detected corresponding one-to-one to sensory neural response intensity levels;
means for detecting the crossings of each such threshold level of intensity and determining the inverse time intervals therebetween;
means for classifying said inverse time intervals;
means for generating a signal representative of the classification of inverse time intervals for each partitioned spectral portion;
and
means for producing a signal representative of the distribution of the generated classification signals for the time segment waveform of the sensory type pattern.

6 more elements

Dependencies are inferred from the claim text.

Analysis arrangement based on a model of human neural responses

Life of this patent

Analysis arrangement based on a model of human neural responses

Life of this patent

Abstract

Claims41