• Title/Summary/Keyword: Musical genre

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Musical Genre Classification Based on Deep Residual Auto-Encoder and Support Vector Machine

  • Xue Han;Wenzhuo Chen;Changjian Zhou
    • Journal of Information Processing Systems
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    • v.20 no.1
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    • pp.13-23
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    • 2024
  • Music brings pleasure and relaxation to people. Therefore, it is necessary to classify musical genres based on scenes. Identifying favorite musical genres from massive music data is a time-consuming and laborious task. Recent studies have suggested that machine learning algorithms are effective in distinguishing between various musical genres. However, meeting the actual requirements in terms of accuracy or timeliness is challenging. In this study, a hybrid machine learning model that combines a deep residual auto-encoder (DRAE) and support vector machine (SVM) for musical genre recognition was proposed. Eight manually extracted features from the Mel-frequency cepstral coefficients (MFCC) were employed in the preprocessing stage as the hybrid music data source. During the training stage, DRAE was employed to extract feature maps, which were then used as input for the SVM classifier. The experimental results indicated that this method achieved a 91.54% F1-score and 91.58% top-1 accuracy, outperforming existing approaches. This novel approach leverages deep architecture and conventional machine learning algorithms and provides a new horizon for musical genre classification tasks.

Study on the Performance of Spectral Contrast MFCC for Musical Genre Classification (스펙트럼 대비 MFCC 특징의 음악 장르 분류 성능 분석)

  • Seo, Jin-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.4
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    • pp.265-269
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    • 2010
  • This paper proposes a novel spectral audio feature, spectral contrast MFCC (SCMFCC), and studies its performance on the musical genre classification. For a successful musical genre classifier, extracting features that allow direct access to the relevant genre-specific information is crucial. In this regard, the features based on the spectral contrast, which represents the relative distribution of the harmonic and non-harmonic components, have received increased attention. The proposed SCMFCC feature utilizes the spectral contrst on the mel-frequency cepstrum and thus conforms the conventional MFCC in a way more relevant for musical genre classification. By performing classification test on the widely used music DB, we compare the performance of the proposed feature with that of the previous ones.

Studies about Acceptance of Songs or Sounds 'Sori(唱)' appeared in Musical Comedy performed in Korean Traditional Music and Changeable Aspects Thereof - Centering around Korean Musical Group, Taroo - (국악뮤지컬에 나타난 소리(창(唱))의 수용 및 변화양상 연구 - "'국악뮤지컬집단 타루'를 중심으로" -)

  • Jung, Hyewon
    • Journal of Korean Theatre Studies Association
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    • no.49
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    • pp.5-47
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    • 2013
  • Among the styles of performing arts, perhaps the genre that has attracted the largest audience would be musical. Popularity of musical has brought diverse changes in our performing arts market, and, upon emerging another musical genre, called 'Korean Traditional Musical Comedy,' it has been well-received by the audiences. 'Korean Traditional Musical Comedy' is a word that are formed by merging two other terms such as 'Korean Traditional Music' and 'Musical (Comedy).' In the meantime, however, it has yet some problems in order to be defined as the genre that has concrete concepts. It is because the term such as Korean Traditional Musical Comedy was created being closely associated with a marketing purpose rather than a term that defines the characteristics of a genre of performing arts. Although this new musical genre has drawn attentions of many audiences by adding 'Musical Comedy' to 'Korean Traditional Music' that was not quite popular to the public, it still does not have any established forms so that there is a fine line between "Korean Traditional Musical Comedy" and another genre like traditional style folk opera ("Changgeuk"). Looking at the characteristics of the musical work called 'Korean Traditional Musical Comedy, in general, first of all, it is a performance where music and drama are played. Here, the distinctive characteristic of this musical is that 'Korean Traditional Music' is sung. And the kinds of Korean traditional musics being sung are mainly Pansori (dramatic story-singing) and folk-songs, and, in most cases, Korean traditional musical instruments are being used as accompanying music. In this paper, the researcher investigated the aspects of experiment centering around Korean Musical Group, Taroo. These days, various experiments has been repeated not only for the works of Taroo but other musical work presently called 'Korean Traditional Musical Comedy' also. Having encompassed overall performance factors including use of musical instruments, dance, acting, materials for drama as well as music in drama, the researcher has gone through experiments repeatedly. Meanwhile, however, the subject matters that make 'Korean Traditional Musical Comedy' mostly attractive to the audiences are music and songs or sounds. ["Sori" also called "Chang" (唱)] Particularly, under the current situation of our musicals, the role of "Sori" is extremely important. The factor that plays absolutely most important role in acceptance and transformation of "Sori" is the created Pansori. Since the created Pansori is composed with new rhythmic patterns and new narrative poems, it tells the present story. Also it draws good responses from the audiences owing to easy conveyance of dialogues. And, its new style brings diversification to organization of musical instruments, so then this leads to the arrangements of music for Korean traditional music instruments, as well as instrumental music ensemble, orchestra, and jazz band, etc. Likewise, upon appearing creative musics in 'Korean Traditional Musical Comedy,' professional music and vocal compositions have begun to emerge naturally. And, the song specialist and writer, of course, staffs including direction, lighting, and sounds, etc are required. That is, professional composition method are forced to be introduced to all areas. Other than this, there are many music pieces which are based on our unique songs and sounds ("Sori") and such traditional factors as use of lead singer for ceremony or chorus, and the method that puts weight on Pansori. Accordingly many things accomplished. However, it is required that 'Korean Traditional Musical Comedy' go through numerous discussions and more experiments. Above all, the most important things are the role of actor and actress, and their changes, and training of actor and actress further. Good news is there are good audience responses. 'Korean Traditional Musical Comedy' is an open genre. As musicals are divided into several domains according to the characteristics thereof, 'Korean Traditional Musical Comedy' will be able to show its distinctive features in various styles according to embodiment.

An investigation of subband decomposition and feature-dimension reduction for musical genre classification (음악 장르 분류를 위한 부밴드 분해와 특징 차수 축소에 관한 연구)

  • Seo, Jin Soo;Kim, Junghyun;Park, Jihyun
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.2
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    • pp.144-150
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    • 2017
  • Musical genre is indispensible in constructing music information retrieval system, such as music search and classification. In general, the spectral characteristics of a music signal are obtained based on a subband decomposition to represent the relative distribution of the harmonic and the non-harmonic components. In this paper, we investigate the subband decomposition parameters in extracting features, which improves musical genre classification accuracy. In addition, the linear projection methods are studied to reduce the resulting feature dimension. Experiments on the widely used music datasets confirmed that the subband decomposition finer than the widely-adopted octave scale is conducive in improving genre-classification accuracy and showed that the feature-dimension reduction is effective reducing a classifier's computational complexity.

A Musical Genre Classification Method Based on the Octave-Band Order Statistics (옥타브밴드 순서 통계량에 기반한 음악 장르 분류)

  • Seo, Jin Soo
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.1
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    • pp.81-86
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    • 2014
  • This paper presents a study on the effectiveness of using the spectral and the temporal octave-band order statistics for musical genre classification. In order to represent the relative disposition of the harmonic and non-harmonic components, we utilize the octave-band order statistics of power spectral distribution. Experiments on the widely used two music datasets were performed; the results show that the octave-band order statistics improve genre classification accuracy by 2.61 % for one dataset and 8.9 % for another dataset compared with the mel-frequency cepstral coefficients and the octave-band spectral contrast. Experimental results show that the octave-band order statistics are promising for musical genre classification.

Music Genre Classification based on Musical Features of Representative Segments (대표구간의 음악 특징에 기반한 음악 장르 분류)

  • Lee, Jong-In;Kim, Byeong-Man
    • Journal of KIISE:Software and Applications
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    • v.35 no.11
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    • pp.692-700
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    • 2008
  • In some previous works on musical genre classification, human experts specify segments of a song for extracting musical features. Although this approach might contribute to performance enhancement, it requires manual intervention and thus can not be easily applied to new incoming songs. To extract musical features without the manual intervention, most of recent researches on music genre classification extract features from a pre-determined part of a song (for example, 30 seconds after initial 30 seconds), which may cause loss of accuracy. In this paper, in order to alleviate the accuracy problem, we propose a new method, which extracts features from representative segments (or main theme part) identified by structure analysis of music piece. The proposed method detects segments with repeated melody in a song and selects representative ones among them by considering their positions and energies. Experimental results show that the proposed method significantly improve the accuracy compared to the approach using a pre-determined part.

Musical Film Acting Method (뮤지컬 영화 연기 연구)

  • Park, Hoyoung
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.718-726
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    • 2021
  • A musical that combines singing, dancing, and acting is a popular musical drama created by the development of opera. These musicals are the cultural and industrial sectors that are commercially compatible with artistry and popularity. Musicals remind you of exciting and colorful live performances. This musical industry has been loved by the public as it was created not only on stage but also as a musical film. The film industry has been striving to express the musical's unique originality through film screens. In terms of acting, acting in musical films should be implemented to suit musical films. In order to do so, the characteristics of movie acting and musical acting will be understood at the same time and true musical film acting can be implemented on the screen when each genre is fused. In order to act as a musical film, it is necessary to understand the functional characteristics of each genre and apply the necessary functions on the spot.

A Study on the Robust Content-Based Musical Genre Classification System Using Multi-Feature Clustering (Multi-Feature Clustering을 이용한 강인한 내용 기반 음악 장르 분류 시스템에 관한 연구)

  • Yoon Won-Jung;Lee Kang-Kyu;Park Kyu-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3 s.303
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    • pp.115-120
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    • 2005
  • In this paper, we propose a new robust content-based musical genre classification algorithm using multi-feature clustering(MFC) method. In contrast to previous works, this paper focuses on two practical issues of the system dependency problem on different input query patterns(or portions) and input query lengths which causes serious uncertainty of the system performance. In order to solve these problems, a new approach called multi-feature clustering(MFC) based on k-means clustering is proposed. To verify the performance of the proposed method, several excerpts with variable duration were extracted from every other position in a queried music file. Effectiveness of the system with MFC and without MFC is compared in terms of the classification accuracy. It is demonstrated that the use of MFC significantly improves the system stability of musical genre classification performance with higher accuracy rate.

Alternative Music - Ambiguity of Genre & Beat Generation (얼터너티브 음악 - 장르의 모호함과 비트 제너레이션)

  • Kim, Sung Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4212-4217
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    • 2013
  • Since genre of popular music began to classified, Alternative Music has been music form with most complex and diverse sub genre. This paper focused on mostly Alternative Rock, which began to attract attention since the 1990's, and analysed the cause for ambiguity of this genre. Therefore we can examine the inevitable limitation of traditional - based on musical form only - classification.

Convergence Characteristics of Contemporary Musical Vocal Techniques - Focusing on the Analysis of 'The Girl in 14G' - (현대 뮤지컬 보컬 테크닉의 융합적 특징 - 'The Girl in 14G' 분석을 중심으로 -)

  • Lee, Eun-Hye
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.157-166
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    • 2021
  • The purpose of this study is to understand the characteristics of contemporary vocalization and songs in order to learn various vocal methods in musical vocal classes and apply them to students. Musical vocalization methods change and evolve according to the demands of the times. Today, the characteristics of contemporary musicals cannot be limited to anyone genre, and the genre of music as well as the style of work are derived from several genres and coexist. 'The Girl in 14G,' the subject of this study, is a song that appeared in the album of Kristin Chenoweth, a famous American musical actress who uses various vocal techniques. Jeanine Tesori composed this song with various vocal techniques such as Classical, Jazz, Belting, and Mixed Voice to express New York's representative music genres of Broadway Musical, Metropolitan Opera and East Village Jazz. The development of the song consists of a difficult process in which one actor has to act across three different characters in three musical styles and singing methods. Singing 'The Girl in 14G' requires a lot of effort and practice as it is necessary to acquire various vocal techniques, which makes it a good text for students and actors in the educational perspective. As a result, this study confirmed that this song is a representative piece with a solid musical and dramatic composition and is a good example that shows the convergence characteristics of contemporary musical vocal techniques.