• Title/Summary/Keyword: 노래가사분석

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Study of Lyric Analysis Using a Mind-map on Parenting Stress in Mothers of Children with Disability (마인드맵을 활용한 노래가사분석(Lyric Analysis) 활동을 통한 장애아동 어머니의 양육스트레스 감소에 관한 연구)

  • Kim, Jin
    • Journal of Music and Human Behavior
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    • v.7 no.2
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    • pp.23-45
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    • 2010
  • The purpose of this study is to determine the effects of lyric analysis using the mind-map technique on parenting stress of mothers with disabled children. Six mothers performed psychological tests to confirm the level of parenting stress. Participants attended a total of fourteen lyric-analysis using mind-map programs and the Questionnaire on Resource and Stress (QRS) was administered before the first session and after the last session. Results showed a significant difference (p<.05) in perceived parenting stress. Also positive changes were observed from video analysis of each session. Overall, this study suggests that the lyric analysis based on the application of mind-map may have the positive influence on the parenting stress of mothers raising disabled children.

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GAN-based Dance Performance Visual Background Generation Method using Emotion Analysis on Lyrics (가사의 감정 분석을 이용한 GAN 기반 댄스 공연 배경 생성 방법)

  • Yoon, Hyewon;Kwak, Jeonghoon;Sung, Yunsick
    • Annual Conference of KIPS
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    • 2020.05a
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    • pp.530-531
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    • 2020
  • 최근 인공지능을 활용하여 예술 작품에 몰입할 수 있도록 무대 효과를 디자인하는 연구가 진행되고 있다. 무대 효과 중에서 무대 배경은 공연의 분위기를 형성한다. 춤의 장르별로 무대 배경에 사용되는 이미지를 생성하기 위해 소셜 미디어 기반 무대 배경 생성 시스템이 있다. 하지만 같은 장르 춤은 동일한 무대 배경 이미지가 제공되는 문제가 있다. 같은 장르의 춤이지만 노래의 분위기를 반영하여 차별된 무대 배경 이미지를 제공하는 것이 필요하다. 본 논문은 노래 가사의 감정을 활용하여 Generative Adversarial Network(GAN)을 통해 각 노래의 분위기를 고려한 무대 배경 이미지를 생성하는 방법을 제안한다. GAN은 노래에 포함된 단락별 감정 단어를 추출하여 스타일을 생성하도록 학습된다. 학습된 GAN은 노래 가사에 포함된 감정 단어를 활용하여 곡의 분위기를 반영한 무대 배경 이미지를 생성한다. 노래 가사를 고려하여 무대 배경 이미지를 생성함으로써 곡의 분위기가 고려된 무대 배경 이미지 생성이 가능하다.

Music Recommender System based on Lyrics Information (가사정보를 이용한 음악 추천 시스템)

  • Chang, Geun-Tak;Seo, Jung-Yun
    • Annual Conference on Human and Language Technology
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    • 2010.10a
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    • pp.42-45
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    • 2010
  • 본 연구에서는 한국의 대중가요의 가사 정보를 형태소 단위로 분석하고 이 정보를 기반으로 노래의 감정을 분류하여 추천하는 시스템을 제안한다. 이 시스템을 구축하기 위해서 수집된 노래의 가사는 형태소를 분석하여 각 형태소를 자질로 결정하고, 사용되는 분류기는 ME 모델을 이용해서 학습된다. 이 학습된 분류기는 자질의 수에 따라 그 성능이 분석되고, 분류기를 사용한 추천 시스템은 랜덤하게 생성된 데이터 집합에 대해서 얼마나 정확하게 노래를 추천하는 지를 분석한다.

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Supportive Songwriting to Improve Resilience of Adolescents With School Maladjustment (학교 부적응 청소년의 적응유연성 향상을 위한 지지적 노래만들기)

  • Kim, Ji Won
    • Journal of Music and Human Behavior
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    • v.15 no.2
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    • pp.41-67
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    • 2018
  • The purpose of this case study was to examine how a supportive songwriting program could facilitate resilience for adolescents with school maladjustment. Participants included four middle school students with adaptive difficulties. The participants received eight 50-minute sessions of a supportive songwriting program. The program consisted of singing and discussing selected songs, followed by the participants creating their own lyrics about their current adaptation issues. The Resilience Scale for Adolescents was completed by each participant before and after the intervention, and the participants' lyrics were analyzed for how the factors of resilience were reflected in their lyrics. The results showed that all participants' scores on the resilience scale increased. It was also found that the factor on the resilience scale that increased the most for each participant was related to the issues expressed in their lyrics. The results suggest that the process of writing songs can be effective in eliciting adolescents' school related issues and accessing their positive resources, which can lead to behavioral and psychological improvements.

Similarity Evaluation of Popular Music based on Emotion and Structure of Lyrics (가사의 감정 분석과 구조 분석을 이용한 노래 간 유사도 측정)

  • Lee, Jaehwan;Lim, Hyewon;Kim, Hyoung-Joo
    • KIISE Transactions on Computing Practices
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    • v.22 no.10
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    • pp.479-487
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    • 2016
  • People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.

A Study on Semiotic Analysis of Popular Songs' lyric - Analysis of 'Kang San-ae's 2nd album' Lyrics as a Text - (대중가요 노랫말의 기호학적 분석 - Text로서 강산에 2집의 노랫말 분석을 중심으로 -)

  • Joung, Woo-Il;Cho, Tae-Seon
    • Proceedings of the KAIS Fall Conference
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    • 2010.11b
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    • pp.528-530
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    • 2010
  • 본 논문에서는 음악의 분석, 특히 대중가요의 가사 분석에 있어서 사회학적 관점인 기호학을 기초로 분석을 하였으며, 특히 '강산에'의 노래가사를 중심으로 분석을 하였다. 2집은 1994년에 발매 되었는데, 당시의 사회적 분위기와 맞물린 '비판적'가사의 흐름이외에도 '정서적', '의식적'인 구조에 대해서도 분석하였다.

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A Proposal and Application of a Song Analysis Method for Musical Songs and Acting (뮤지컬 노래와 연기를 위한 노래 분석법의 제시와 적용)

  • Lee, Eun-Hye
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.3
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    • pp.27-40
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    • 2021
  • This study aims to propose and apply a song analysis method for musical songs and acting. Prior to rehearsing a musical on stage, students and actors practice diverse exercises ranging from singing, acting and dancing. Among them, singing a musical song requires the actor not only to learn the pitch, beat and melody of the music but also to express the story and scene of the character in combination. Previous studies on analysis focused on research from the perspective of individual elements of singing, acting, and dancing rather than the proposal of comprehensive analysis methods. It is time for comprehensive analysis methods to be developed to practice musical songs and demonstrate them on stage. This study selected "Epiphany" sung by Todd from the musical Sweeney Todd(1979) as the subject of analysis. The song was analyzed in five stages: synopsis, music analysis, lyrics analysis, Uta Hagen's The Six Steps analysis, and Michael Chekhov's Psychological Gesture analysis. Through proposing and applying this step-by-step analysis method, this study verifies the usefulness of musical song analysis for practising both musical theory and practical skills at the same time and provides a base for future studies.

English Diction Research for Vocals -mainly focused on the Diphthong [aɪ], [eɪ]. [ɔɪ], [aʊ], [oʊ] (보컬을 위한 영어딕션 연구 -이중모음 [aɪ], [eɪ]. [ɔɪ], [aʊ], [oʊ]를 중심으로-)

  • Bae, Saetbyeol
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.93-94
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    • 2015
  • 본 연구는 보컬을 위한 영어 딕션법을 이중모음 [aɪ], [eɪ]. [ɔɪ], [aʊ], [oʊ]를 중심으로 연구했다. 먼저 영어음성학을 기초로 소리 내는 법을 정리하고 그다음으로 노래할 때 필요한 딕션법을 정리했는데, 이 항목에서는 이중모음을 노랫말로 표현할 때 조음기관의 위치를 어떻게 설정할 것인지를 중점적으로 다뤘다. 각 항목의 예시로 영어노래 악보들을 첨부했으며 악보에 표기된 가사들은 원어, 국제음성기호(IPA), 한글표기 세 가지로 분석하여 노래할 때 참고할 수 있도록 만들었다.

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Application and Practice of Estill Vocal Training (EVT) Through Theatrical and Musical Analysis of Musical Songs (뮤지컬 노래의 극과 음악 분석을 통한 조 에스틸 보컬 기법(EVT)의 적용과 실제)

  • Lee, Eun-Hye;Kim, Yu-Jeong
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.8
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    • pp.91-102
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    • 2020
  • The purpose of this study is to analyze musical songs from an academic perspective by applying vocal techniques that can express songs in depth in three dimensions. Singing a musical song cannot be completed with just the musical part, rather, it should be accompanied by the analysis of various aspects such as the emotional state of the scenes and the characters. To this end, this study performed a multi-dimensional analysis of fields such as theatrical structure, lyrics, musical structure, and dynamics. In addition, the study explored and applied Estill Voice Training(EVT) that actors can best express songs with the emotions of the theater and music. EVT categorizes voice into six tones: speech, sob/cry, falsetto, twang, opera, and belting. In this study, in addition to these six sounds, the positions of vocal cords and larynx were also applied to seek ways to effectively express songs using "Gar Nichts" from the musical "Elisabeth" as a case study. "Gar Nichts" is a song sung by the protagonist Elisabeth, which expresses the self and the conflict at the peak of pain. Musically, this song requires various sound and voice-changing techniques to cover the range of "G#3-Gb5." As a result, it was confirmed that in order to embody the emotions of the characters and the songs in depth, the analysis of scenes and characters as well as various singing techniques need to be applied in harmony.

A Study on resistance consciousness in Popular Songs' lyric - Semiotic analysis of 'Kang San-ae's 3rd album' Lyrics as a Text - (대중가요 노랫말속의 저항의식 - Text로서 강산에 3집의 기호학적 노랫말 분석을 중심으로 -)

  • Joung, Woo-Il
    • Proceedings of the KAIS Fall Conference
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    • 2011.05b
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    • pp.868-870
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    • 2011
  • 본 논문에서는 음악의 정신과도 같은 노랫말의 분석, 특히 '강산에 3집'에서의 노래가사가 갖고 있는 저항의식을 중심으로 분석을 하였다. 3집은 1996년에 발매 되었는데, 당시의 사회적 분위기와 맞물린 '비판적'가사의 흐름을 중심으로 분석하였다.

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