Methods and apparatus for determining a mood profile associated with media data

A non-transitory tangible machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations for matching of audio data comprising:

• comparing a primary element of a first piece of audio data to a primary element of a second piece of audio data, wherein the primary element of the first piece of audio data identifies a predominant mood category of the first piece of audio data, wherein the primary element of the second piece of audio data identifies a predominant mood category of the second piece of audio data, and wherein a trained classifier generates mood-category scores, and wherein the primary elements used for the comparison are obtained by partial retrieval of the mood-category scores, wherein the partial retrieval reduces at least one of a required memory or a required processing power for the comparison;
• determining that the first and second pieces of audio data have the same predominant mood category based on comparing the primary elements of the first and second pieces of audio data to a correlates matrix;
• in response to determining that the first and second pieces of audio data have the same predominant mood category, comparing a first mood score of the primary element of the first piece of audio data to a second mood score of the primary element of a second piece of audio data;
• determining that an output of the comparison of the first mood score and the second mood score exceeds a threshold value;
• and
• in response to determining that the output of the comparison of the first mood score and the second mood score exceeds the threshold value, providing an indicator to an application that causes the application to perform an operation associated with the second piece of audio data.

A computing system comprising:

• a memory that stores instructions;
• a database;
• one or more processors configured by the instructions to perform operations for matching of audio data comprising:
• comparing, by the one or more processors, a primary element of a first piece of audio data to a primary element of a second piece of audio data, wherein the primary element of the first piece of audio data identifies a predominant mood category of the first piece of audio data, wherein the primary element of the second piece of audio data identifies a predominant mood category of the second piece of audio data, and wherein a trained classifier generates mood-category scores and the primary elements used for the comparing are obtained by partial retrieval of the mood-category scores, wherein the partial retrieval reduces at least one of a required memory or a required processing power for the comparison;
• determining, by the one or more processors, that the first and second pieces of audio data have the same predominant mood category based on comparing the primary elements of the first and second pieces of audio data to a correlates matrix;
• in response to determining that the first and second pieces of audio data have the same predominant mood category, comparing, by the one or more processors, a first mood score of the primary element of the first piece of audio data to a second mood score of the primary element of a second piece of audio data;
• determining, by the one or more processors, that an output of the comparison of the first mood score and the second mood score exceeds a threshold value;
• and
• in response to determining that the output of the comparison of the first mood score and the second mood score exceeds the threshold value, providing an indicator to an application, by the one or more processors, that causes the application to perform an operation associated with the second piece of audio data.