BrainFM, Inc. (20240220190). Extending Audio Tracks While Avoiding Audio Discontinuities simplified abstract
Extending Audio Tracks While Avoiding Audio Discontinuities
Organization Name
Inventor(s)
Kevin JP Woods of Brooklyn NY (US)
Extending Audio Tracks While Avoiding Audio Discontinuities - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220190 titled 'Extending Audio Tracks While Avoiding Audio Discontinuities
Simplified Explanation
This patent application describes a method for extending an audio track by joining similar portions, using audio features extracted from the track.
- Audio features are extracted from the audio track, such as spectral and modulation features.
- The audio track is segmented based on these features, and each segment is slid through the track using a timestep.
- In each timestep, the sliding segment is compared to the underlying portion of the track to generate a similarity score.
- A self-similarity matrix is generated based on these comparisons, analyzing peak values to join segments and extend the track.
- This method can be applied to any type of audio, including music, ambient noise, and speech.
Key Features and Innovation
- Extraction of audio features from the track.
- Segmentation of the audio track based on these features.
- Comparison of segments to extend the track.
- Application to various types of audio content.
Potential Applications
This technology can be used in music production, audio editing software, speech recognition systems, and noise cancellation algorithms.
Problems Solved
This technology addresses the need for seamless audio track extension without noticeable transitions or disruptions.
Benefits
- Seamless extension of audio tracks.
- Improved audio editing capabilities.
- Enhanced user experience in audio applications.
Commercial Applications
- Music production software.
- Audio editing tools.
- Speech recognition systems.
- Noise cancellation devices.
Prior Art
Prior art related to this technology may include research on audio signal processing, audio segmentation, and audio track manipulation techniques.
Frequently Updated Research
Research on audio signal processing algorithms, audio feature extraction methods, and audio track analysis techniques are frequently updated in the field of audio technology.
Questions about Audio Track Extension
How does this technology improve audio editing processes?
This technology allows for seamless extension of audio tracks, enhancing the overall editing capabilities for audio professionals and enthusiasts.
What are the potential applications of this audio track extension method beyond music production?
This method can be applied to various audio content, including speech recognition systems, noise cancellation algorithms, and ambient noise analysis.
Original Abstract Submitted
embodiments disclosed herein extending an audio track by joining similar portions. audio features (e.g., spectral features, modulation features) may be extracted from the audio track. the audio track may be segmented, e.g., based on the audio features, and each segment may be slid through the audio track using a timestep. in each timestep, the sliding segment may be compared to the underlying portion of the audio track and a similarity score (e.g., a cross-correlation) may be generated. a self-similarity matrix may be generated based on the comparisons involving all the segments. the self-similarity matrix may be analyzed for peak values and segments corresponding to the peak values may be joined to extend the audio track. the embodiments may be applied to any kind of audio including music, ambient noise, speech, etc.
