sightreading.training
sightreading.training copied to clipboard
Add smart note selection based on training data
I would like to contribute to this project but there are no intsructions for setting up a development environment.
THe feature I would like to implement is saving all hits/misses and generating new scores to include more of the notes that are typically missed. THis should accelerate learning because less time is wasted practising notes like middle C (in treble) and F (in bass). Instead, training would focus on the noets that the player struggles with the most.
This is just a rough idea and obivously other notes still need to be included. All i am suggesting is that the frequency of missed notes can be subtly increased based on statistics.
Love this idea!
On Wed, Jul 22, 2020 at 11:32 PM Daniel Mason [email protected] wrote:
I would like to contribute to this project but there are no intsructions for setting up a development environment.
THe feature I would like to implement is saving all hits/misses and generating new scores to include more of the notes that are typically missed. THis should accelerate learning because less time is wasted practising notes like middle C (in treble) and F (in bass). Instead, training would focus on the noets that the player struggles with the most.
This is just a rough idea and obivously other notes still need to be included. All i am suggesting is that the frequency of missed notes can be subtly increased based on statistics.
— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/leafo/sightreading.training/issues/89, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQGW2LLOO7PJH6YD6IBKTXDR43S6RANCNFSM4PEWZNGQ .
I would like to contribute to this project but there are no intsructions for setting up a development environment....
have a look at my post #71. I was in a similar situation and got no answers on that as well.
regards
Frank
I am a React developer and professional software engineer. There seems to be a few people willing to work on this project which is fantastic to see for an open source project (I wish my other projects had this many people eager to contribute). However , we are unable to begin due to lack of docs and support from original devs.
What should we do? Start a new fork?