Patent ID: 7532943

Claim:
A method for automatically classifying spectral properties of audio data, comprising: applying input audio data (1) to a critical band filtering process that filters the audio data proximate a human auditory frequency range to form first output data and (2) to an entropy calculation process to form second output data; applying the first output data to a first derivative process to form third output data; inputting said first, second and third output data to an averaging process to form a spectral feature vector representing the input audio data; comparing the spectral feature vector to a classification chain containing pre-classified entries to determine at least one classification of the audio data wherein the classification chain data comprises a plurality of classification vectors, wherein each vector includes data representative of a spectral properties class as classified by humans and spectral properties characteristics as determined by digital signal processing; and classifying the audio input data by a human when the confidence in the at least one classification is low and adding a representation of the human classification of the audio input data to the classification vector.