Abstract:
"
There are so many applications and softwares to help acoustic guitar players to new
techniques and methods. For acoustic guitar player novices, there is a large number of
acoustic guitar tutors and free acoustic guitar learning tutorials available on the internet.
With these advantages, any person who has an interest to learn or improve their acoustic
guitar earning skills, can be done easily. Among those applications and softwares,
strumming pattern learning related applications can be found very less. Most acoustic
guitar players and acoustic guitar player novices catch hard to find the strumming
pattern of a song. In this project, a new acoustic guitar strumming pattern learning
method according to a given song has documented and implemented. This system has
used a machine learning approach to predict the strums of a strumming pattern
according to its Bpm and the time signature. Using Markov chain models and Viterbi
backtracking algorithm, this project has produced a new application that suggest a
suitable acoustic guitar strumming for a given song"
