• Title/Summary/Keyword: MUSIC technique

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Mickey Mousing Technique for the Unique Expression of Music in Nature Documentaries

  • Kim, Hyung-Jin;Um, Kang-iL
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.86-95
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    • 2020
  • There is a unique method of musical expression in the nature documentary. The expression method is Mickey Mousing technique, which expresses the movement of animals with music. The Mickey mousing technique can also be used in other types of documentaries, but it is most prominently used in nature documentaries. The Mickey Mousing technique cannot be used in any field other than music composition, because the composer should describe the movement of animals by playing music to match the animal's movements exactly. It is also because they have to play the instrument separately according to the sound source. In this study, we examined the nature documentaries broadcast by KBS over the last five years and analyzed the cases of Mickey Mousing technique. Therefore, we obtained research results that the Mickey Mousing technique is necessary and that the music composition is also necessary as a background music of nature documentaries.

Music Recall Technique for Affect Modification using Stimulative-Sedative Music : Case Study of Anorexia Nervosa (자극성-진정성 음악을 이용한 부적 정서 조절의 음악회상기법 (Music Recall Technique) : 신경성 식욕부진증 환자의 사례 연구)

  • Gill, Su Yeon
    • Journal of Music and Human Behavior
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    • v.2 no.1
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    • pp.1-15
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    • 2005
  • The purpose of this study is to develop Music Recall Technique for affect modification using programmed series of classical music, and further to apply the technique as therapeutic intervention for clients with anorexia nervosa. Music Recall Technique is composed of two sub-technique: first one is 'Music Recall(MR)' which is the way to reproduce of existing music on one's head and mind after listening to the music, and second intervention is 'Creative Music Recall(CMR)' which is the way to modify the exposed musical pieces or newly learned musical pieces. A client with anorexia nervosa with severe anxiety, anger and depression participated in this case study. The MRT is implemented in different stages pertaining to client's level of utilizing the music recall skill for the period of 10 sessions. Situations eliciting negative emotions were identified and music recalling was reinforced for the pertaining situation in order for the negative emotion to be coped and reduced by the end of session time. The client participated for 10 sessions, and was asked to fill out self-report on the affect change using MRT. Visual Analogue Scale was used for pre and post test for each session to measure the self perceived level of negative affect. State-trait anxiety inventory was also used to measure the anxiety level following the implementation of MRT. As results, negative emotions, such as anxiety, anger and depression were modified during stimulative-sedative music recall process. These negative emotions were decreased mostly during stimulative MR, especially, in the beginning process. Each negative affect on negative situation measured by VAS during each and entire session have been decreased. Negative emotion measured by state-trait anxiety inventory, state-trait anger expression inventory, and hopelessness-depression inventory were decreased as well. The results suggest that stimulative music using contemporary classic music was effective in reduction and modification of negative affect such as anxiety, anger and depression. It shows that Music Recall Technique can be a meaningful intervention for affect modification, and further it can be utilized as self-help in the outside of music therapy setting.

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Automatic Music Summarization Using Similarity Measure Based on Multi-Level Vector Quantization (다중레벨 벡터양자화 기반의 유사도를 이용한 자동 음악요약)

  • Kim, Sung-Tak;Kim, Sang-Ho;Kim, Hoi-Rin
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.2E
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    • pp.39-43
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    • 2007
  • Music summarization refers to a technique which automatically extracts the most important and representative segments in music content. In this paper, we propose and evaluate a technique which provides the repeated part in music content as music summary. For extracting a repeated segment in music content, the proposed algorithm uses the weighted sum of similarity measures based on multi-level vector quantization for fixed-length summary or optimal-length summary. For similarity measures, count-based similarity measure and distance-based similarity measure are proposed. The number of the same codeword and the Mahalanobis distance of features which have same codeword at the same position in segments are used for count-based and distance-based similarity measure, respectively. Fixed-length music summary is evaluated by measuring the overlapping ratio between hand-made repeated parts and automatically generated ones. Optimal-length music summary is evaluated by calculating how much automatically generated music summary includes repeated parts of the music content. From experiments we observed that optimal-length summary could capture the repeated parts in music content more effectively in terms of summary length than fixed-length summary.

Computer-Supported Piano Performance Science (컴퓨터지원 피아노 연주과학)

  • Roh, Kyeong Won;Eum, Hee Jung;Kim, Hee-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1738-1741
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    • 2019
  • Music performance techniques have been primarily trained by apprenticeship. The technique transfer, which relies on the imitation of experience and actual performance without scientific evidence, required the pianists more time and effort than necessary. However, if the players in the field discover the principles of universally applicable piano playing techniques in collaboration with scientists, they will avoid errors and prepare a new paradigm in the development of piano playing techniques. This is why music performance science is needed. Little has been studied about it in Korea, but it has been activated abroad since the mid-1990s. The core science of music performance science is expected to be computer science fitting data analysis. In this paper, we introduce music performance science for the pianist and present how computer can help it.

Music Recommendation Technique Using Metadata (메타데이터를 이용한 음악 추천 기법)

  • Lee, Hye-in;Youn, Sung-dae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.75-78
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    • 2018
  • Recently, the amount of music that can be heard is increasing exponentially due to the growth of the digital music market. Because of this, online music service users have had difficulty choosing their favorite music and have wasted a lot of time. In this paper, we propose a recommendation technique to minimize the difficulty of selection and to reduce wasted time. The proposed technique uses an item - based collaborative filtering algorithm that can recommend items without using personal information. For more accurate recommendation, the user's preference is predicted by using the metadata of the music source and the top-N music with high preference is finally recommended. Experimental results show that the proposed method improves the performance of the proposed method better than it does when the metadata is not used.

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Harmonic and Interhamonic Detection and Estimation of Power Signal using Subband MUSIC/ESPRIT (부밴드 MUSIC/ESPRIT를 이용한 전력신호 고조파 및 중간고조파 검출 및 추정)

  • Choi, Hun;Bae, Hyeon-Deok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.149-158
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    • 2015
  • This paper proposes a subband filtering technique to the MUSIC and the ESPRIT algorithm for estimating the magnitude and frequency of the harmonics of power signal. In proposed method, the input power signal is decomposed to the odd harmonics and the even harmonics respectively by the filter bank system. The amplitude and the frequency estimation of the decomposed harmonics are carried out using the MUSIC and the ESPRIT method. Subband filtering can reduce the autocorrelation matrix size of input data, and spectrum leakage between adjacent harmonics. Therefore, this subband technique has advantage in computational cost and estimation accuracy compared to fullband MUSIC and ESPRIT. To demonstrate the performance of the method, computer simulations are performed to the synthesized input signal, and experiment results are compared in subband and fullband cases.

Rethinking the Printed Music from the View of Media -Focused on Fugue in Unaccompanied Violin Sonata No. 3 by J. S. Bach- (인쇄 악보에 대한 미디어적 고찰 -J.S 바흐의 무반주 바이올린 소나타 제3번 '푸가'를 중심으로-)

  • Kim, Hyokyung;Byun, Hyuk
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.656-663
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    • 2016
  • The study focused on the printed sheet music delivering the classical music contents in the view of the media. Media scholar Marshall Mcluhan declared that the media is not just simple tool of delivery but is the main subject affecting the human perception and the content itself. The music media, sheet music invented by the development of the printing technique allowed the massive production and it generalized the classical music contents. However, the editing, the mandatory process for sheet music, created the editors who are standardizing and visualizing the music contents and until today, the sheet music delivers the editor's interpretation rather than the composer's. To prove this notion, the study will compare the manuscript and sheet music of Unaccompanied Violin Sonata no. 3 'Fugue' by J. S Bach and will discuss about the compatibility of the sheet music as the music media now.

Content-based Music Retrieval by TIP-indexing Techniques and Features of Audio files (TIP-인덱싱 기법과 오디오 화일의 특징계수에 의한 내용기반 음악 검색)

  • Kim Young-In
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.10-14
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    • 2006
  • To effectively manage a very large amount of music data, we need an indexing technique based on audio features. But the indexing techniques for audiofeatures have not been studied completely. In this paper, we describe a content-based music information retrieval technique for audio features using the TIP-indexing file. In addition, we develop and experiment the TIP-indexing files using various blocking factors to present performance comparisons for effective indexing. Experimental results show the effectiveness of the proposed techniques.

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Recognition of Music using Backpropagation Network (Backpropagation을 이용한 악보인식)

  • Park, Hyun-Jun;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1170-1175
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    • 2007
  • This paper presents techniques to recognize music using back propagation network one of the neural network algorithms, and to preprocess technique for music mage. Music symbols and music notes are segmented by preprocessing such as binarization, slope correction, staff line removing, etc. Segmented music symbols and music notes are recognized by music note recognizing network and non-music note recognizing network. We proved correctness of proposed music recognition algorithm though experiments and analysis with various kind of musics.

A Study on Dissonance Functions of Scenes and Background Music in Movies

  • Um, Kang-iL
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.96-100
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    • 2020
  • Soundtrack dissonance, which appears in the background music of a movie scene, is a phenomenon of using songs or compositions that contrast with the general sentiment of the situation. A sad scene usually uses a slow tempo of sad music to match the mood of the scene. However, sometimes, in order to play background music that follows a depressing, sad, or anxious scene, there is a case of inserting music with an opposite atmosphere such as bright music, exciting music, fast-tempo music, or magnificent music. The method of presenting music that is contrary to the mood of the scene is a kind of psychological technique that inflicts a kind of mental shock on the audience and makes them remember a particular situation. In this study, we have investigated the meaning coming from scenes and Soundtrack Dissonance in movies, in order to understand the role that music and images play.