| 研究生: |
梁鈺昕 Liang, Yu-hsin |
|---|---|
| 論文名稱: |
搖籃曲音樂特性分析 The Musical Characteristics of Lullabies |
| 指導教授: |
周榮華
Chou, Jung-Hua |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 工程科學系 Department of Engineering Science |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 中文 |
| 論文頁數: | 68 |
| 中文關鍵詞: | 旋律成分分析 、音高追蹤 、搖籃曲 |
| 外文關鍵詞: | melody component analysis, pitch tracking, lullaby |
| 相關次數: | 點閱:159 下載:2 |
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由於時代變遷的腳步越來越快,人們生活的步調也越來越緊湊,各式各樣的壓力加在身上,使得在現今的社會當中,有許多人為失眠所困擾。哄小孩入睡的搖籃曲,有著緩慢擺動的節拍及輕柔的旋律,是可以幫助人解除緊張情緒而入睡的音樂。因此在各個文化的搖籃曲裡,必定有著某些相通之處、某些能使人心神安定的共同元素。故本研究目的為找出不同文化、不同民族特性的搖籃曲之間的共通處,找出一個屬於搖籃曲的模式,以期能循此模式,排除不同國情,創作出一樣具有安定人心、引人入睡的音樂。
本研究針對音樂的兩大特性:旋律及節拍,利用ACF(Autocorrelation function)找出其旋律的絕對音高及節拍長度,做統計分析,由此整理出各國搖籃曲間基本的共同特性,並針對此實驗結果作分析討論。
研究結果顯示,搖籃曲在旋律走向上以鄰近音符為主要連接音,且節拍較為單調,以重複節拍為主,變動性不大,與搖籃曲平靜較無起伏的特性相符。比較其他曲種特性的結果,在情緒起伏較小的樂曲中有較接近搖籃曲的特性,而情緒起伏較大的樂曲,則與搖籃曲的統計特性有較大的區別。
Due to the faster pace of daily activities, people's life is more and more segmented. Furthermore, there’s various pressure added on people and it makes people suffer from insomnia in modern society. The lullaby used for coaxing children into sleeping possesses unique rhythm and soft melody. It may be helpful for people to relieve nervous situations and enhance sleep. So there must be some common characteristics which let people’s mind become peaceful and quiet in the lullabies of different cultures. Therefore, the goal of this research is to find out the common features of lullabies among different cultures and nationalities and figure out their model.
This research focuses on two major features of lullabies: rhythm and melody. Using the ACF (Autocorrelation function) method and statistical analysis. Through the pitch and beat length obtained, the basic common characteristics among lullabies of various countries are deduced.
The research shows that each note's pitch of the melody should be close to the ex-note's and the rhythm of lullabies is simple and repeated. The characteristics correspond with the feature of the lullabies which suppose to be peaceful and slow. If we compared the characteristics of lullabies with other kinds of music which are considered as smooth rhythm, we can find out that they have similar features. On the contrary, the songs which rhythm changes heavily are quite different from lullabies.
[1] R. E. Thayer, “The biopsychology of mood and arousal.” , Oxford University Press,
1989
[2] 羅小平、黃虹編譯, “最新音樂心理學薈萃”, 上海音樂學院出版社, 1995
[3] H. Henver, “Expression in music: a discussion of experimental studies and
theories”, Psychological review, vol. 42, pp. 186-204, 1935
[4] C.L. Krumhansl, ” Music : a link between cognition and emotion”, Current
Directions in Psychological Science, vol. 2, pp.45-50, Nov. 2002
[5] D. Liu, L. Lu and H.J. Zhang, “Automatic mood detection from acousticmusic data
”, Proc. of the Fourth International Conference on Music Information Retrieval,
pp. 81, Baltimore, MD, October 2003
[6]M. Wang, N. Zhang, H. Zhu, “User-adaptive music emotion recognition”, Signal
Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on Volume
2 , vol.2, pp.1352 – 1355, 31 Aug.-4 Sept. 2004
[7] T. Marta, T. Raquel, K.Thomas, “Mood-based navigation through large collections
of musical data”, 2004
[8] A. M. Noll, “Cepstrum Pitch Determination”, Journal of the Acoustical Society
of America, Volume 41, Issue 2, pp. 293-309, Feb. 1967
[9]M. R. Schroeder, “Period Histogram and Product Spectrum: New Methods for
Fundamental Frequency Measurement”, Journal of the Acoustical Society of America,
Volume 43, Issue 4, pp. 829-834, Apr. 1968
[10]D. Hermes, “Measurement of Pitch by Subharmonic Summation”, Journal of
Acoustic of Society of America, Volume 83, Issue 1, pp.257-264, Jan. 1988
[11]X. Sun, ”A Pitch Determination Algorithm Based on Subharmonic-to-Harmonic Ratio”
, Proceedings of the 6th International Conference on Spoken Language Processing,
Beijing, China, 2000
[12]M. J. Ross, H. L. Shaffer, A. Cohen, R. Freudberg, and H. J, Manley, “Average
Magnitude Difference Function Pitch Extractor”, IEEE Transactions on Acoustics,
Speech and Signal Processing, Volume 22, Issue 5, pp.353 – 362, Oct. 1974
[13]L. R. Rabiner, “On the Use of Autocorrelation Analysis for Pitch Detection”,
IEEE Transactions on Acoustics, Speech and Signal Processing, Volume 25,
Issue 1, pp.24 – 33, Feb. 1977
[14]K. Dressler, “An Auditory Streaming Approach on Melody Extraction”, in 2nd
Music Information Retrieval Evaluation eXchange(MIREX), 2006
[15] K. Dressler, “Extraction of the Melody Pitch Contour from Polyphonic Audio”,
Proceeding of the 2005 Music Information Retrieval eXchange(MIREX), 2005
[16]A. Camacho, “SWIPE: A Sawtooth Waveform Inspired Pitch Estimator for
Speech and Music”, PhD. Thesis, University of Florida, 2007
[17]流行音樂網http://www.popiano.org/big5, 2000
[18]張智星教授個人網頁 http://neural.cs.nthu.edu.tw/jang , 1996
[19] dolmetsch online http://www.dolmetsch.com/index.htm, 2008
[20]中國百科網http://www.chinabaike.com, 2007
[21]當代樂手音樂網 http://www.modernmusician.com, 2002
[22]王琬婷,“國中藝術與人文領域世界音樂教材之探討”, 2007
[23]陳若涵,許肇凌,張智星,羅鳳珠, ”以音樂內容為基礎的情緒分析與辨
識”, 2006
[24] 王小川, ”語音訊號處理”, 全華科技圖書股份有限公司, 2004
[25] Oxford Music Online http://www.oxfordmusiconline.com, 2007