Music Genre Classification
ثبت نشده
چکیده
A genre is defined as “a category of artistic composition, characterized by similarities in form, style, or subject matter.” [1] Some researchers have demonstrated that music genre preferences vary based on factors such as personality and emotional state. Cultural upbringing, peer influence, generational dynamics [5] all shape music preferences too, resulting in varying attitudes towards different genres, from strong liking, to strong dislike of certain genres. In the digital, highly connected era, on demand music services are gaining much traction [4] and are financially sound for on-demand music providers [7]. The on-demand music streaming services attract and retain subscribers [6], and are in a position to easily gather and retain information regarding the users’ music preferences. Based on this information, these companies can build models capturing the users’ music preferences, and recommended similar music to these users. The benefits include:
منابع مشابه
شناسایی خودکار سبک موسیقی
Nowadays, automatic analysis of music signals has gained a considerable importance due to the growing amount of music data found on the Web. Music genre classification is one of the interesting research areas in music information retrieval systems. In this paper several techniques were implemented and evaluated for music genre classification including feature extraction, feature selection and m...
متن کاملAutomatic Genre Classification of Latin Music Using Ensemble of Classifiers
This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. Individual classifiers are trained to account for each music segment. During classification, the output provided by each classifier is combined with ...
متن کاملMusic Genre Classification Revisited: An In-Depth Examination Guided by Music Experts
Despite their many identified shortcomings, music genres are still often used as ground truth and as a proxy for music similarity. In this work we therefore take another in-depth look at genre classification, this time with the help of music experts. In comparison to existing work, we aim at including the viewpoint of different stakeholders to investigate whether musicians and end-user music ta...
متن کاملA Study on Music Genre Recognition and Classification Techniques
Automatic classification of music genre is widely studied topic in music information retrieval (MIR) as it is an efficient method to structure and organize the large numbers of music files available on the Internet. Generally, the genre classification process of music has two main steps: feature extraction and classification. The first step obtains audio signal information, while the second one...
متن کاملClustering Music Recordings Based on Genres 2061 2 . Problem Formulation
Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...
متن کاملFeature Analysis for Musical Genre Classification Task
In this project automatic genre classification problem will be studied and a new system for music genre will be developed. This paper focuses on impact of features on music genre classification task. The following genres are used in this project: Jazz, Metal, Hip-Hop, Classical and Disco, Reggae, Country, Pop. It is found that 3 features out of 26 performs better in genre classification task.
متن کامل