Music categorization using rhythm, texture and pitch

A method for categorizing music, comprising:

• creating a sample set that includes a RTP score for a plurality of possible combinations of a rhythm score (R), a texture score (T), and a pitch score (P) respectively from a R range, a T range, and a P range, at least some of which RTP scores each correspond to a human-determined RTP score for a predetermined piece of music among a plurality of predetermined pieces of music, each RTP score corresponding to a category among a plurality of categories;
• extracting low-level data from each piece of music among a plurality of pieces of music to be RTP scored;
• converting the low-level data to mel-frequency cepstrum coefficient (MFCC) data;
• inputting the MFCC data to a neural network trained to extract the MFCC data and identify one RTP score for each piece of music, wherein the neural network is trained based on the sample set, each identified RTP score corresponding to one RTP score in the sample set;
• utilizing the identified RTP scores for each piece of music to determine a corresponding category for each piece of music among the plurality of categories;
• and
• creating a playlist based on pieces of music corresponding to one or more categories among the plurality of categories.

A method for categorizing music, comprising:

• creating a sample set that includes a RTP score for a plurality of possible combinations of a rhythm score (R), a texture score (T), and a pitch score (P) respectively from a R range, a T range, and a P range, wherein at least some of the RTP scores each correspond to a human-determined RTP score for a predetermined piece of music among a plurality of predetermined pieces of music, wherein each predetermined piece of music has a unique music identification code, wherein each unique music identification code corresponds to one RTP score, and wherein each RTP score corresponds to a category among a plurality of categories;
• identifying a music identification code associated with each piece of music among a plurality of pieces of music to be RTP scored;
• determining if the music identification code for each piece of music to be RTP scored matches any of the unique music identification codes corresponding to the predetermined pieces of music;
• when the music identification code matches one unique identification code among the unique identification codes, identifying the one RTP score as the RTP score corresponding to the matched unique music identification code;
• utilizing the one RTP score for each piece of music to determine a corresponding category for each piece of music among the plurality of categories;
• and
• creating a playlist based on pieces of music corresponding to one or more categories among the plurality of categories.