System And Method For Automatically Remixing Digital Music

A method for generating a transformed digital media from a target media and one or more source media, comprising:

• decoding the target media and the source media;
• generating a first time frequency distribution for the target media and a second time frequency distribution for each of the source media;
• extracting a plurality of first musical features from the first time frequency distribution and a plurality of second musical features from each of the second time frequency distributions;
• segmenting the first musical features into a plurality of temporal segments;
• comparing the first musical features of each of the plurality of temporal segments with the second musical features to generate substantial matches;
• generating a triple for each of the substantial matches;
• and
• generating the transformed digital media by mixing the target media and portions of the source media identified by the triples.

A method for mixing at least one source media with a target media, including:

• determining matches between each of a plurality of time segmented portions of the target media and each of a plurality of time windowed portions of the source media;
• generating a probabilistic distribution of N closest determined said matches;
• generating, for each of the N closest matches, a mixing coefficient based upon the generated probabilistic distribution;
• and
• mixing the time windowed portions associated with the N closest matches with the associated time segmented portion using the associated mixing coefficients.

A method for augmenting a target media with a plurality of source media, comprising the steps of:

• processing the target media to form a target time frequency distribution (TFD);
• processing each of the source media to form a plurality of source TFDs;
• extracting target features from the target TFD;
• extracting source features from each of the source TFDs;
• segmenting the target features into temporal portions to form a plurality of target feature segments;
• comparing each of the target feature segments with each of the plurality of source features to determine a matched source feature having a nearest match between each one of the source features and a respective one of the target feature segments;
• and
• mixing portions of the source media associated with said matched source features with the target media to form an augmented target media, wherein the mixing is based upon a probabilistic mixing algorithm that uses a distance between the matched target feature and source feature to define an amplitude of each said portion of the source media.

A method for augmenting a target media with a plurality of source media, comprising the steps of

• processing the target media to form a target time frequency distribution (TFD);
• separating the target TFD into a plurality components;
• extracting target features from each of the components;
• processing each of the source media to form a plurality of source TFDs;
• separating each of the source TFDs into a plurality of source components;
• extracting source features from each of the source components;
• segmenting the target features into temporal portions to form a plurality of target feature segments;
• comparing each of the target feature segments with each of the source features to determine N closest matches;
• mixing first audio portions of the target media corresponding to the target feature segment and second audio portions of the source media corresponding to the source segments of the N closest matches.

A system for automatically remixing digital music, comprising:

• a time-frequency distribution analyzer for processing (a) a target media to form a target time frequency distribution and (b) a plurality of source media to form a plurality of source time frequency distributions;
• a feature extractor for (a) extracting target features from the target time frequency distribution and (b) extracting source features from each of the source time frequency distributions;
• a feature store for storing the target features and the source features;
• a segmenter for segmenting the target features into a plurality of temporal target segments;
• a matcher for matching, for each temporal target segment, a plurality of the source features nearest to the temporal target segment;
• and
• a compiler for generating a transformed digital media based upon the target media and the matched source features.

A method for separating a media into a set of components, comprising:

• processing the media using a short Fast Fourier Transform algorithm to form a time frequency distribution (TFD);
• separating the TFD into a plurality of components using a probabilistic latent component analysis algorithm;
• determining a sparseness of each of the components;
• and
• removing any one or more of the components that have said sparseness greater than a first threshold and less than a second threshold, the set of components comprising the remaining components.