Snap inc. (20240184853). NEURAL NETWORKS FOR ACCOMPANIMENT EXTRACTION FROM SONGS simplified abstract
Contents
NEURAL NETWORKS FOR ACCOMPANIMENT EXTRACTION FROM SONGS
Organization Name
Inventor(s)
Gurunandan Krishnan Gorumkonda of Kirkland WA (US)
NEURAL NETWORKS FOR ACCOMPANIMENT EXTRACTION FROM SONGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240184853 titled 'NEURAL NETWORKS FOR ACCOMPANIMENT EXTRACTION FROM SONGS
Simplified Explanation
- Simplified Explanation:**
This patent application describes a messaging system that can extract accompaniment portions from songs. The system uses a convolutional neural network to process input songs and generate output accompaniments.
- Key Features and Innovation:**
- Receiving an input song with vocal and accompaniment portions.
- Transforming the input song into an image representing frequencies and intensities.
- Processing the image using a convolutional neural network.
- Generating an output accompaniment based on the processed image.
- Potential Applications:**
This technology could be used in music production, karaoke applications, and audio editing software.
- Problems Solved:**
This technology addresses the challenge of separating vocal and accompaniment portions in songs, which can be useful for remixing and editing purposes.
- Benefits:**
- Allows for easy extraction of accompaniment portions from songs.
- Enhances the capabilities of music production and editing software.
- Facilitates remixing and karaoke applications.
- Commercial Applications:**
The technology could be integrated into music production software, karaoke machines, and audio editing tools to enhance user experience and creativity in music-related activities.
- Prior Art:**
There may be existing technologies or methods for isolating vocals or accompaniment in songs, but the specific approach using a convolutional neural network for this purpose may be novel.
- Frequently Updated Research:**
Stay updated on advancements in convolutional neural networks for audio processing and music analysis to further improve the efficiency and accuracy of accompaniment extraction technologies.
- Questions about Accompaniment Extraction:**
- Question 1:** How does this technology compare to traditional methods of isolating vocals or accompaniment in songs?
- Answer:** This technology offers a more automated and efficient approach compared to manual methods or basic audio processing techniques.
- Question 2:** What are the potential limitations or challenges of using a convolutional neural network for accompaniment extraction?
- Answer:** Some challenges may include processing complex musical arrangements or dealing with overlapping frequencies in songs. Ongoing research aims to address these issues for improved performance.
Original Abstract Submitted
a messaging system that extracts accompaniment portions from songs. methods of accompaniment extraction from songs includes receiving an input song that includes a vocal portion and an accompaniment portion, transforming the input song to an input image, where the input image represents the frequencies and intensities of the input song, processing the input image using a convolutional neural network (cnn) to generate an output image, and transforming the output image to an output accompaniment, where the output accompaniment includes the accompaniment of the input song.
