Dynamic memory allocation using natural language processing tags

A natural language processing method, comprising:

• receiving a set of audio files;
• identifying concepts within the set of audio files;
• determining a usage frequency for each of the identified concepts, wherein the usage frequency indicates how often each of the identified concepts occurs within the set of audio files;
• comparing the usage frequency for each identified concept to a usage frequency threshold;
• and
• generating an AI-defined tag for each identified concept with a usage frequency that is greater than the usage frequency threshold, wherein each AI-defined tag is linked with a concept from a first set of concepts;
• and
• receiving an audio file;
• modifying metadata for the audio file to include AI-defined tags linked with concepts from the first set of concepts;
• identifying non-verbal audio information present within the audio file;
• determining a context tag based on the identified non-verbal audio information present within the audio file, wherein the determined context tag identifies a sound characteristic that is present within the audio file;
• modifying the metadata for the audio file to include the determined context tag;
• analyzing the metadata for the audio file to identify tags associated with the audio file;
• determining a priority level for the audio file based on the tags associated with the audio file;
• determining a data access speed for the audio file based on the determined priority level associated with the audio file;
• selecting a storage location from among the plurality of storage devices based on the determined data access speed;
• and
• sending the audio file to the identified storage location.

A natural language processing device, comprising:

• a memory operable to store artificial intelligence (AI)-defined tags linked with a first set of concepts;
• a processor operably coupled to the memory, configured to:
• receive a set of audio files;
• identify concepts within the set of audio files;
• determine a usage frequency for each of the identified concepts, wherein the usage frequency indicates how often each of the identified concepts occurs within the set of audio files;
• compare the usage frequency for each identified concept to a usage frequency threshold;
• generate an AI-defined tag for each identified concept with a usage frequency that is greater than the usage frequency threshold, wherein each AI-defined tag is linked with the corresponding identified concept;
• receive an audio file;
• modify metadata for the audio file to include AI-defined tags linked with concepts from the first set of concepts;
• identify non-verbal audio information present within the audio file;
• determine a context tag based on the identified non-verbal audio information present within the audio file, wherein the determined context tag identifies a sound characteristic that is present within the audio file;
• modify the metadata for the audio file to include the determined context tag;
• analyze the metadata for the audio file to identify tags associated with the audio file;
• determine a priority level for the audio file based on the tags associated with the audio file;
• determine a data access speed for the audio file based on the determined priority level associated with the audio file;
• select a storage location from among a plurality of storage devices based on the determined data access speed;
• and
• send the audio file to the identified storage location.