Abstract:
"
Lead guitar part of a song or in a music piece is the melody section that is played by a
guitar, where the guitar is highlighted above all the other instruments and any singer.
These lead guitar parts are very popular among guitarist but are harder to play than a
rhythm guitar. The difficulty also comes with the knowledge a lead guitarist should
have on the domain. And with that said, a player who can play them are considered to
be good guitarists in general. Therefore, beginners are popularly interested in learning
the lead guitar.
There is a specific type of techniques which makes the lead guitar part has its own
emotion, and these techniques are bend, vibrato, slide, etc. In order to learn a lead guitar,
it is important to identify and understand these performance techniques. A generic
music transcribing system cannot be much suitable in transcribing lead guitar melodies,
because of these instrument-specific performance techniques that are there in almost
every lead guitar part. Hence a there is not a way of identifying these performance
techniques automatically, for any lead part a beginner wants to learn.
Guitar-Slash introduces a new approach to detect these performance techniques and
annotate them by using the candidate phrase selection algorithm, which is a novel
algorithm in phrase selection of a lead guitar solo part, and by using a convolutional
neural network to classify each technique that are present."
