18385540. METHOD AND DEVICE FOR PRESENTING A CGR ENVIRONMENT BASED ON AUDIO DATA AND LYRIC DATA simplified abstract (Apple Inc.)
METHOD AND DEVICE FOR PRESENTING A CGR ENVIRONMENT BASED ON AUDIO DATA AND LYRIC DATA
Organization Name
Inventor(s)
Ian M. Richter of Los Angeles CA (US)
METHOD AND DEVICE FOR PRESENTING A CGR ENVIRONMENT BASED ON AUDIO DATA AND LYRIC DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18385540 titled 'METHOD AND DEVICE FOR PRESENTING A CGR ENVIRONMENT BASED ON AUDIO DATA AND LYRIC DATA
Simplified Explanation
The method described in the patent application involves generating CGR content to accompany an audio file by analyzing the audio data and lyric data.
- Obtaining an audio file with audio data and associated lyric data.
- Performing natural language analysis on the lyric data to determine possible meanings.
- Performing semantic analysis on the lyric data to determine the actual meaning based on the corresponding audio data.
- Generating CGR content based on the determined meaning of the lyric data.
- Potential Applications:**
- Music streaming services
- Karaoke applications
- Language learning tools
- Problems Solved:**
- Enhancing user experience by providing contextual CGR content with audio files.
- Improving understanding and engagement with the lyrics of a song.
- Benefits:**
- Personalized and interactive content for users.
- Enhanced learning experience for language learners.
- Increased user engagement with audio content.
Original Abstract Submitted
In one implementation, a method of generating CGR content to accompany an audio file including audio data and lyric data based on semantic analysis of the audio data and the lyric data is performed by a device including a processor, non-transitory memory, a speaker, and a display. The method includes obtaining an audio file including audio data and lyric data associated with the audio data. The method includes performing natural language analysis of at least a portion of the lyric data to determine a plurality of candidate meanings of the portion of the lyric data. The method includes performing semantic analysis of the portion of the lyric data to determine a meaning of the portion of the lyric data by selecting, based on a corresponding portion of the audio data, one of the plurality of candidate meanings as the meaning of the portion of the lyric data. The method includes generating CGR content associated with the portion of the lyric data based on the meaning of the portion of the lyric data.
