Unknown Organization (20240232256). SYSTEM AND METHOD FOR RECOGNIZING MUSIC BASED ON AUDITORY MEMORY AND GENERATING PLAYLISTS simplified abstract
Contents
SYSTEM AND METHOD FOR RECOGNIZING MUSIC BASED ON AUDITORY MEMORY AND GENERATING PLAYLISTS
Organization Name
Inventor(s)
Juan Francisco Saavedra Plata of Aventura FL (US)
SYSTEM AND METHOD FOR RECOGNIZING MUSIC BASED ON AUDITORY MEMORY AND GENERATING PLAYLISTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232256 titled 'SYSTEM AND METHOD FOR RECOGNIZING MUSIC BASED ON AUDITORY MEMORY AND GENERATING PLAYLISTS
The method described in the abstract involves recognizing audio data based on auditory memory by utilizing filters and machine-learning algorithms to identify and play audio tracks in a sequential order. Users can indicate acceptance of specific audio clips, which are then added to a playlist.
- Utilizes filters containing information related to audio tracks
- Uses machine-learning algorithms to select and play audio clips
- Allows users to accept or reject audio clips for playlist inclusion
Potential Applications: - Music streaming services - Personalized audio content recommendations - Audio recognition software
Problems Solved: - Efficient audio track identification - Personalized playlist creation - Enhanced user experience in audio content consumption
Benefits: - Improved audio recognition accuracy - Customized playlists based on user preferences - Streamlined audio content selection process
Commercial Applications: Title: "Enhanced Audio Recognition and Playlist Creation Technology" This technology can be applied in music streaming platforms, radio stations, and audio content recommendation services to enhance user experience and increase engagement. By offering personalized playlists and accurate audio track identification, companies can attract and retain more users.
Prior Art: Prior art related to this technology may include research on audio recognition algorithms, machine learning in audio processing, and personalized content recommendation systems in the audio industry.
Frequently Updated Research: Researchers are continually exploring advancements in machine learning algorithms for audio processing, improving the accuracy of audio recognition systems, and enhancing user interaction with audio content.
Questions about Audio Recognition and Playlist Creation: 1. How does this technology improve the user experience in audio content consumption? This technology enhances the user experience by providing personalized playlists based on individual preferences and streamlining the audio track selection process.
2. What are the potential commercial applications of this audio recognition and playlist creation technology? This technology can be utilized in music streaming services, radio stations, and audio content recommendation platforms to offer customized playlists and improve user engagement.
Original Abstract Submitted
a method for recognizing audio data based on auditory memory includes determining at least one filter to be utilized in the identification of one more audio tracks. the at least one filter includes information related to the one or more audio tracks. the method also includes determining, using one or more machine-learning algorithms, a set of audio clips to be played based on at least one filter. the method includes outputting the set of audio clips in a sequential order. further, the method includes receiving, from a user, an indication of acceptance of a first audio clip from the set of audio clips. the method includes adding an audio track corresponding to the audio clip to a playlist based on the indication of acceptance.
