• Title/Summary/Keyword: 음악장르구분

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Deep Learning Music Genre Classification System Model Improvement Using Generative Adversarial Networks (GAN) (생성적 적대 신경망(GAN)을 이용한 딥러닝 음악 장르 분류 시스템 모델 개선)

  • Bae, Jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.7
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    • pp.842-848
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    • 2020
  • Music markets have entered the era of streaming. In order to select and propose music that suits the taste of music consumers, there is an active demand and research on an automatic music genre classification system. We propose a method to improve the accuracy of genre unclassified songs, which was a lack of the previous system, by using a generative adversarial network (GAN) to further develop the automatic voting system for deep learning music genre using Softmax proposed in the previous paper. In the previous study, if the spectrogram of the song was ambiguous to grasp the genre of the song, it was forced to leave it as an unclassified song. In this paper, we proposed a system that increases the accuracy of genre classification of unclassified songs by converting the spectrogram of unclassified songs into an easy-to-read spectrogram using GAN. And the result of the experiment was able to derive an excellent result compared to the existing method.

Music Recommendation System Based on User Preference Analysis Using Hidden Markov Model (은닉 마코프 모델을 이용한 사용자 선호도 분석 기반의 음악 추천 시스템)

  • Kim, Geon-Su;Lee, Dong-Hun;Yun, Tae-Bok;Lee, Ji-Hyeong
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.56-59
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    • 2008
  • 현재의 음악 서비스들의 대부분은 음악을 가수 이름이나 장르와 같은 키워드들로 구분하여 사용자에게 제공한다. 하지만 음악의 장르가 다양해지고, 장르별로 음악의 유형도 다양해짐에 따라 키워드 기반은 음악 제공 방법만으로는 사용자가 원하는 음악을 제공하는데 한계가 있다. 이런 한계점을 극복하기 위하여 음악 자체의 성질을 기반으로 음악을 분석하는 컨텐츠 기반의 음악 분석 방법이 필요하다. 또한 사용자가 원하는 음악을 제공 받을 수 있도록 사용자의 음악 선호도를 분석하여 그에 맞는 음악을 제공하는 방법도 필요하다. 본 논문에서는 음악의 시퀀스 정보와 특징을 추출하여 음악 모델을 구축하고, 이를 사용하여 사용자의 음악 선호도를 분석하는 방법을 제안하고, 사용자의 선호도에 맞는 음악을 제공하기 위하여 선호도 분석 방법을 통해 음악을 추천해주는 시스템을 제안한다.

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Deep Learning Music genre automatic classification voting system using Softmax (소프트맥스를 이용한 딥러닝 음악장르 자동구분 투표 시스템)

  • Bae, June;Kim, Jangyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.27-32
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    • 2019
  • Research that implements the classification process through Deep Learning algorithm, one of the outstanding human abilities, includes a unimodal model, a multi-modal model, and a multi-modal method using music videos. In this study, the results were better by suggesting a system to analyze each song's spectrum into short samples and vote for the results. Among Deep Learning algorithms, CNN showed superior performance in the category of music genre compared to RNN, and improved performance when CNN and RNN were applied together. The system of voting for each CNN result by Deep Learning a short sample of music showed better results than the previous model and the model with Softmax layer added to the model performed best. The need for the explosive growth of digital media and the automatic classification of music genres in numerous streaming services is increasing. Future research will need to reduce the proportion of undifferentiated songs and develop algorithms for the last category classification of undivided songs.

Analysis of Bit and music genre using Peak Level (피크레벨을 이용한 비트 분석 및 음악 장르구분)

  • Kim, Yoon-Ho;Jo, Jae-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.417-420
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    • 2005
  • This report shows the new music player's system which could separate music's tempo by analysis Peak level frequency by time from some percussion instruments. After this process, the new music player could classify some fast or slow genre's musics without a user's order, then we should listen to a fast or slow genre's music by a button.

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A Study on the Location of Game-themed Music by PC Game Genre : Focusing on types of music, structural elements of music, and images (PC게임 장르에 따른 게임 테마음악의 위치화 연구 : 음악종류, 음악의 구조적 요소, 이미지를 중심으로)

  • Park, Kwan-Ik;Hwang, Kyung-Ho;Lee, Hyung-Seok
    • Journal of Korea Game Society
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    • v.20 no.2
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    • pp.75-90
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    • 2020
  • The purpose of this study is to identify the functional role of music, which is one of the main elements that make up PC games. To this end, theme music by genre of PC game was divided through analysis and then the relationship between variables was analyzed by visually positioning the distance between 'music type', 'structural element of music' and 'image' using multiple correspondence matching analysis. As a result, it was confirmed that there was a difference in location between the types of music by game genre, the structural elements of music, and the characteristics of the image.

Generating Data and Applying Machine Learning Methods for Music Genre Classification (음악 장르 분류를 위한 데이터 생성 및 머신러닝 적용 방안)

  • Bit-Chan Eom;Dong-Hwi Cho;Choon-Sung Nam
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.57-64
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    • 2024
  • This paper aims to enhance the accuracy of music genre classification for music tracks where genre information is not provided, by utilizing machine learning to classify a large amount of music data. The paper proposes collecting and preprocessing data instead of using the commonly employed GTZAN dataset in previous research for genre classification in music. To create a dataset with superior classification performance compared to the GTZAN dataset, we extract specific segments with the highest energy level of the onset. We utilize 57 features as the main characteristics of the music data used for training, including Mel Frequency Cepstral Coefficients (MFCC). We achieved a training accuracy of 85% and a testing accuracy of 71% using the Support Vector Machine (SVM) model to classify into Classical, Jazz, Country, Disco, Soul, Rock, Metal, and Hiphop genres based on preprocessed data.

Music information and musical propensity analysis, and music recommendation system using collaborative filtering (음악정보와 음악적 성향 분석 및 협업 필터링을 이용한 음악추천시스템)

  • Gong, Minseo;Hong, Jinju;Choi, Jaehyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.533-536
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    • 2015
  • Mobile music market is growing. However, services what are applied recently are inaccurate to recommend music that a user is worth to prefer. So, this paper suggests music recommend system. This system recommend music that users prefer analyzing music information and user's musical propensity and using collaborative filtering. This system classify genre and extract factors what can be get using STFT's ZCR, Spectral roll-off, Spectral flux. So similar musics are clustered by these factors. And then, after divide mood of music's lyric, it finally recommend music automatically using collaborative filtering.

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Cho Yong-Pil's 50 years of Music and the Korean Popular Music History (조용필 음악 50년의 한국 대중음악사적 의의 연구)

  • Choi, Hyeon-Woo;Yang, Eun-Young
    • Journal of Convergence for Information Technology
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    • v.8 no.4
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    • pp.199-204
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    • 2018
  • This study analyzes Cho, Yong- Pil's contribution on K-Pop history as he celebrates the 50th anniversary of his debut. The history of K-Pop, when Cho has been active in, is divided into three periods. From the late 1960s to the early 1980s was a period when trots and rocks were popular. Soft rock, heavy metal, and ballads came in from the mid-1980s to the early 2000s. From the late 2000s to the present, dance music, mostly hook songs, has dominated. In every inflection point of K-Pop history, he contributed to the development throughout various musical genres. In the first period, he introduced rock music with the unique emotion of Korea by combining the trot and the rock genre. In the second period, he contributed to the development of both rock and ballad genres. In the third period, his hook songs were released to the controversy, but it contributed to creating an atmosphere in which the vocal ability of the vocalist in idol groups was emphasized in the K-pop scene.

Types and Characteristics of Traditional Music Performance of the 1920s - Focused on the mixed performances type in the western-style genre - (1920년대 전통음악공연의 형태와 특징 - 서양식 장르와의 혼성공연형태를 중심으로 -)

  • Keum, Yong-woong
    • (The) Research of the performance art and culture
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    • no.35
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    • pp.61-92
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    • 2017
  • During the Japanese colonial era, traditional music performances were gradually diminishing and weakening in the particular condition of colonization. Meanwhile, from the time of enlightenment, Western genre performances were becoming vitalized with the influence of Western civilization that began to be spread steadily throughout the society. In that situation, traditional music performances tended to be mixed performances accompanied by Western ones, not independent performances. Mostly, they were accompanied by Western music, and also, they were performed along with other genres like plays, lectures, movies, dances, or magic, too. Such form of mixed performances accompanied by Western genres became even more vitalized in the 1920's and came to be positioned as a form of traditional music performances. Therefore, research on the forms of mixed performances between Western genres and traditional music is meaningful in examining the forms of traditional music performances that have not been studied in the history of Korean modern music and understanding the trends of traditional music performances which were generally found in the Japanese colonial era. However, such research has hardly been conducted concretely yet. Accordingly, concerning the forms of mixed performances between Western genres and traditional music in the 1920's, this author considered the background of vitalizing mixed performances between Western genres and traditional music mainly with newspaper articles of the time and their formal characteristics. Regarding the background of vitalizing the forms of mixed performances between Western genres and traditional music, from the 1920's, the forms of mixed performances between Western genres and traditional music became more vitalized than before. The causes of that may include the increase of groups hosting or sponsoring such performances from the 1920's and also the dramatic increase of such performances in general. Moreover, the increased performances were conducted in the forms of mixed performances mainly in order to satisfy the people's needs becoming diversified with the distribution of Western civilization. Concerning the formal characteristics of mixed performances between Western genres and traditional music, this researcher classified western genres performed with traditional music and examined what characteristics were found in such mixed performances of tradition music by the types of Western genres respectively. First, in the mixed performances type of western-type genre and traditional music, the number of programs for the western music had significant portion in general, and there were certain ensemble of the western music and traditional musical instrument that was rare at this period of time, and it also had the characteristics of classifying two genres to perform for each title or date. Second, in the mixed performances type of the drama and traditional music, the traditional music is directly participated in the drama with the similar type to the theater, or performed independently from the drama with the role of interlude performance for the stage conversion of the drama to have the characteristics of performing in audience publicity or entertainment. Third, in the mixed performances type of the lecture and traditional music, the traditional music is played before or after the lecture to play the role to set the atmosphere and entertainment for the lecture as displaying the feature to perform for the audience attraction. And, fourth, in the mixed performances type of the movie and traditional music, the traditional music sometimes directly participated in the movie or had the features of independent performance, and there was a characteristic to perform for the entertainment after showing a movie.

Study of Music Classification Optimized Environment and Atmosphere for Intelligent Musical Fountain System (지능형 음악분수 시스템을 위한 환경 및 분위기에 최적화된 음악분류에 관한 연구)

  • Park, Jun-Heong;Park, Seung-Min;Lee, Young-Hwan;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.218-223
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    • 2011
  • Various research studies are underway to explore music classification by genre. Because sound professionals define the criterion of music to categorize differently each other, those classification is not easy to come up clear result. When a new genre is appeared, there is onerousness to renew the criterion of music to categorize. Therefore, music is classified by emotional adjectives, not genre. We classified music by light and shade in precedent study. In this paper, we propose the music classification system that is based on emotional adjectives to suitable search for atmosphere, and the classification criteria is three kinds; light and shade in precedent study, intense and placid, and grandeur and trivial. Variance Considered Machines that is an improved algorithm for Support Vector Machine was used as classification algorithm, and it represented 85% classification accuracy with the result that we tried to classify 525 songs.