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Cognitive music recommendation for chorus Disclosure Number: IPCOM000248290D
Publication Date: 2016-Nov-15
Document File: 3 page(s) / 54K

Publishing Venue

The Prior Art Database


The core idea in this disclosure defines a method of recommending songs integrated with data mining and cognitive analysis for enhancing user experience with songs. The architecture of method of recommending songs is comprised of following 5 key components for support data mining and cognitive analysis. 1. User’s voice data collection from personal devices and user’s health status collection 2. Music library search, match, and analysis 3. Song list sorting 4. Personal song preference collection from personal devices 5. New song list sorting based on the song list in step 3 and personal collection in step 4 Based on the architecture and data mining and cognitive analysis, the method collect users’ vocal features from personal devices,  personal song preference and health status. By using above invention, at least, karaoke and carplay can be improved because of the cognitive music recommendation.

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Cognitive music recommendation for chorus


Those who sings songs together with others in Karaoke often faces the challenge of picking a song that suits them. For people with no or little professional knowledge of music, it is difficult or time-consuming to pick a song that perfectly falls into their vocal range and intonation. For duo and trio singers in karaoke, they might have personal relationships, and specific scenario, therefore, an excellent choice of song can improve theuser experience of karaoke or even karaoke apps.

Detailed description


Tom sings baritone. He goes to karaoke with his friends from time to time. It wasn't always happy. In the past, when Tom wantedto sing a duet with his favorite girl back then, Tracy, and he chose a song. The duet was a disaster - Tom couldn't handle the highest note in the song, neither could Tracy grab the right pitch of her part. The duet ended with embarrassment, and Tracy never wanted to sing with Tom again.

Now, things are different. With proper application in mobile devices, participants' voice data is collected and analyzed at karaoke, and songs are recommended to them. Tom and Sarah decide to sing a song together. With their data, the application in mobile devices pops up another song on the screen. They accept this recommendation and enjoy themselves.

The application detects that Tom is not at his best performance today - his throat is a little dry. This observation is added to his personal data. Later that day, songs recommended to him are slower and easier to protect his throat while enabling him to enjoy the time with his friends. When the party ends, Sarah is impressed by Tom - she didn't know Tom is interested in the second singer before, and they talk a lot about it, and find more topics that they are both interested in. True love could start in karaoke.



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1. Collect personal voice data from apps and voice memos where users will most likely use their voice to record various information and analyz...