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grade 10 week 4 music classification
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Pa tulong grade 10 week 4 music classification
Pa tulong
grade 10 week 4 music classification
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Answer:
annoying papatolung mo
Answer:
R.ASHWIN
Music is the most popular art form that is performed and listened to by billions of people every day. There are many genres of music such as pop, classical, jazz, folk etc. Each genre has different music instruments, tone, rhythm, beats, flow etc. Digital music and online streaming have become very popular these days due to the increase in the number of users.
AIM
To create a machine learning model, which classifies music samples into different genres.
WHY AUTOMATE MUSIC CLASSIFICATION
To classify a music sample or song manually, the person has to listen to the song and select the genre. This is a time-consuming job and the person is required to have knowledge of the different genres. With around 40 million songs in digital libraries and over 100,000 songs releasing every year on digital music services, automating the music classification can help in finding valuable data such as trends, popular genres and artists easily.
USE OF GENRE CLASSIFICATION
· Generate playlists of similar genre.
· Can be used to recommend similar music in digital music services such as Spotify, Youtube.
· Categorizing music based on genre.
COMPONENTS OF A MUSIC CLASSIFIER
To create a machine learning model which can classify music genres, we require the following components
· Music database
· Feature extractor
· Training dataset
· Classifier
· Testing set
MUSIC DATABASE
A music database must have music samples of different genre. The dataset can be split into a training set and a testing set. These samples help in training the model to recognize the genre. The larger the database, the more accurately the machine learning model predicts the genre.
Some databases which can be used in genre classification are
· GTZAN dataset
It is a dataset which comprises of 1000 songs each 30 seconds long. It has 10 genres of music, each having 100 tracks. The tracks are all 16-bit audio files in .wav format.