Automatic Music Genres Classification using Machine Learning
نویسندگان
چکیده
منابع مشابه
Automatic Music Genres Classification using Machine Learning
Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song references, finding related songs, finding societies who will like that specific song. The purpose of our research is to find best machine learning algorithm that predict the genre of s...
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Music is categorized into subjective categories called genres. Humans have been the primary tool in attributing genre-tags to songs. Using a machine to automate this classification process is a more complex task. Machine learning excels at deciphering patterns from complex data. We aimed to apply machine learning to the task of music genre tagging using eight summary features about each song, a...
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Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). In this study, we compare the performance of two classes of models. The first is a deep learning approach wherein a CNN model is trained end-to-end, to predict the genre label of an audio signal, solely using its spectrogram. The second approach utilizes hand-crafted feature...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2017
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2017.080844