跳到主要內容

臺灣博碩士論文加值系統

(44.210.85.190) 您好!臺灣時間:2022/11/30 01:24
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳證光
研究生(外文):Chen, Cheng-Kuang
論文名稱:聲景情緒研究:現有方法與近期發展述評
論文名稱(外文):The Study of Soundscape Emotion:A Review of Existing Methods and Recent Research Developments
指導教授:鄭泗東
指導教授(外文):Cheng, Stone
口試委員:曾毓忠黃志方
口試委員(外文):Tseng, Yu-ChungHuang, Chih-Fang
口試日期:2019-11-12
學位類別:碩士
校院名稱:國立交通大學
系所名稱:工學院聲音與音樂創意科技碩士學位學程
學門:工程學門
學類:其他工程學類
論文種類:學術論文
論文出版年:2019
畢業學年度:108
語文別:中文
論文頁數:89
中文關鍵詞:聲景情緒感知模型語意區別評等量表主成份分析音訊處理
外文關鍵詞:SoundscapeEmotionPerceptual ModelPrincipal Component AnalysisSemantic DifferentialRating ScaleAudio Signal Processing
相關次數:
  • 被引用被引用:0
  • 點閱點閱:183
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究彙整與分析聲景情緒研究領域諸多文獻,橫跨心理學、音訊處理、機器學習、神經科學等背景,藉由回顧不同文獻中的差異,統整出可供後續研究者使用的研究流程與聲景情緒感知模型。本研究由文獻分析可知聲景情緒研究方法分為心理學與音訊處理兩大領域。在心理學領域的研究方法先介紹各式情緒模型或自行建模,再述評使用語意差別評分與評等量表進行實驗的文獻,基於量表數據比較主成分分析結果之間的差異,確立與情緒相關的維度在人們感知聲景時的重要關聯性,人類在聲景場域中首先會感受的是聲景給予人的情緒回饋。本研究亦回顧以音訊處理基礎結合機器學習技術來模擬人類感知聲景的相關文獻,研究結果指出此方式的可行性,但模擬過程中情緒辨識的相關機制仍不太明確。總結來說人類對於不同類型聲景的主觀感受對不同族群而言存在些許差異,不同文獻的實驗結果也不完全一致,但可以大致歸納出明顯的趨勢,與自然有關的聲景,通常與給予人正面相關的情緒回饋,與機械、工業有關的聲景通常給予人負面相關的情緒回饋,另外許多文獻也發現在聲景情緒研究領域中,人類主觀感受的重要性遠大於聲景的客觀物理量。
This research analyses and reviews past literature in relative field of soundscape emotion, ranging from psychology to audio signal processing, machine learning, statistics and neuroscience. By comparing and contrasting different studies, this research aims to provide future studies well-organized research procedure and soundscape emotion perceptual model. After literature analysis, it is known that the research methods of soundscape emotion are divided into two major fields : psychology and audio signal processing. Starting from psychology research of soundscape emotion, this study introduces a variety of emotional models before reviewing literature conducted with Semantic Differential measurement and Rating Scale, comparing the differences results between Principal Component Analysis and confirming the fact that emotion-related dimensions are critical while people perceive soundscape. The first thing humans consider in a soundscape is the emotional feedback given by the soundscape. This study also reviews the literature based on audio signal processing combined with machine learning techniques to simulate human perception of soundscape. The results indicate that this approach is feasible, but the relevant mechanisms of emotion recognition in the simulation process are still not clear. To sum up, differentiations are revealed while various group of people experience different types of soundscape. Results from different studies are not identical. And yet obvious trend can be induced. Nature-related soundscape usually provides positive response of emotions while that of mechanical- and industrial-related soundscapes is usually negative emotions. Furthermore, many other studies show that in the field of soundscape emotion study, subjective evaluation of people are far more essential than the physical parameter of soundscape.
摘要 i
ABSTRACT ii
致謝 iii
目錄 iv
表目錄 vi
圖目錄 vii

一、 緒論 1
1.1 研究動機 1
1.2 文獻回顧 2
1.2.1 聲景起源 2
1.2.2 其他研究 5

二、 心理學情緒模型 8
2.1 類別式 8
2.2 維度式 13
2.3 樣板式 16

三、 由心理學研究聲景情緒 19
3.1 理論基礎 19
3.1.1 聲音的物理量 19
3.1.2 問卷設計方式 21
3.1.3 主成分分析法簡介 24
3.2 研究方法 30
3.2.1 研究流程 30
3.2.2 挑選與人類感知聲景有關的詞彙 32
3.2.3 準備聲景田野錄音摘錄 34
3.2.4 實際聲景摘錄聆聽實驗 36
3.2.5 主成分分析 37
3.2.6 建立人類感知聲景的維度模型 41
3.2.7 將聲景情緒標註在模型上 43
3.3 其他研究彙整 44
3.4 相關議題討論 51

四、 由音訊處理研究聲景情緒 56
4.1 理論基礎 56
4.1.1 短時距傅立葉轉換 56
4.1.2 Bag of Frames Approach 60
4.1.3 高斯混合模型 61
4.1.4 逐步線性迴歸 63
4.2 研究方法 64
4.2.1 研究流程 64
4.2.2 確立研究使用的感知模型 65
4.2.3 預先對聲景摘錄進行標記作為訓練資料 67
4.2.4 針對聲景摘錄進行音訊特徵萃取 68
4.2.5 建模:資料輸入機器學習模型訓練 69
4.2.6 測試:將情緒辨識結果展示在感知模型上 72
4.3 相關議題討論 78

五、 結論與未來展望 80
六、 參考文獻 83
[1] R. M. Schafer, The Soundscape: Our Sonic Environment and the Tuning of the
World, Inner Traditions/Bear & Co, 1993.
[2] Schulte Fortkamp, Soundscape Analysis in a Residential Area:An Evaluation of Noise and People's Mind, Acta Acustica united with Acustica, Volume 92, Number 6, November/December 2006, pp. 875-880(6).
[3] Mags Adams, Sustainable Soundscapes- Noise Policy and the Urban Experience, Urban Studies 43, December 2006.
[4] A Skånberg, Adverse Health Effects in Relation to Urban Residential Soundscapes, Journal of Sound and Vibration, 2002.
[5] TC Andringa, Core affect and Soundscape Assessment:Fore- and Background Soundscape Design for Quality of Life, Inter-noise 2013.
[6] Jonathan Posner, The circumplex model of affect: An Integrative Approach to Affective Neuroscience, Cognitive Development, and Psychopathology, Development and Psychopathology 2005.
[7] Jonathan Posner, The Neurophysiological Bases of Emotion:An fMRI Study of the
Affective Circumplex using Emotion-Denoting Words, Human Brain Mapping 2009.
[8] P. N. Juslin, J. A. Sloboda (Eds.), Handbook of Music and Emotion: Theory,
Research, Applications, Oxford University Press, 2010.
[9] Tim Dalgleish, Handbook of Cognition and Emotion, 1999
[10] A. Ortony, T. J. Turner, “What's basic about basic emotions? ”, Psychological
Review, Vol. 97, No. 3, pp. 315-331, July 1990.
[11] 郭柏祥,「產品型態與情緒之關聯性研究 – 以電子式煮水壺為例」,國立雲
林科技大學,碩士論文,民國95年。
[12] K. Hevner, “The Affective Character of the Major and Minor Modes in Music”,
The American Journal of Psychology, Vol. 47, No. 1, pp. 103-118, January 1935.
[13] K. Hevner, “Experimental Studies of the Elements of Expression in Music”, The
American Journal of Psychology, Vol. 48, No. 2, pp. 246-268, April 1936.
[14] P. R. Farnsworth, “A Study of the Hevner Adjective List”, The Journal of Aesthetics and
Art Criticism, Vol. 13, No. 1, pp. 97-103, September 1954.
[15] J. A. Russell, “A Circumplex Model of Affect”, Journal of Personality and Social
Psychology, Vol. 39, No. 6, pp. 1161-1178, January 1980.
[16] D. Watson, A. Tellegen, “Toward a Consensual Structure of Mood”, Psychological Bulletin, Vol. 98, No. 2, pp. 219-235, September 1985.
[17] R. E. Thayer, The Biopsychology of Mood and Arousal, Oxford University Press, 1989.
[18] P. Shaver, et al., “Emotion Knowledge: Further Exploration of a Prototype Approach”, Journal of Personality and Social Psychology, Vol. 52, No. 6, pp. 1061-1086, 1987.
[19] M. Zentner, et al., “Emotions Evoked by the Sound of Music: Characterization,
Classification and Measurement”, Emotion, Vol. 8, No. 4, pp. 494-521, August 2008.
[20] W.Yang, Acoustic Comfort Evaluation in Urban Open Public spaces, Applied Acoustics
Volume 66, Issue 2, February 2005, Pages 211-229.
[21] C. Guastavino, P. Cheminée, A Psycholinguistic Approach to the Ecological Validity of
Experimental Settings. The Case of Low Frequency Perception in Urban Context. Food Quality Prefer. 15 (2004) 884-6.
[22] Charles Egerton Osgood, The Measurement of Meaning, 1957.
[23] J.Kang, Semantic Differential Analysis of the Soundscape in Urban Open Public Spaces, Building and Environment, Volume 45, Issue 1, January 2010, Pages 150-157.
[24] William J Davies, A Positive Soundscape Evaluation System, Edinburgh, Scotland
EURONOISE October 26-28, 2009.
[25] Rensis Likert, A Technique for the Measurement of Attitudes, Archives of psychology,
, 1932.
[26] Östen Axelsson, A Principal Components Model of Soundscape Perception, Acoustical Society of America, 2010.
[27] Rebecca Cain, The Development and Application of the Emotional Dimensions of a Soundscape, Applied Acoustics 74, 232–239, 2013.
[28] Bert De Coensel, The Quiet Rural Soundscape and How to Characterize it, ACTA Acustica United With ACUSTICA Vol. 92 (2006) 887 – 897.
[29] R. Cain and P. Jennings, “Developing Best Practice for Lab-based Evaluations of Urban Soundscapes”, In Proceedings of Inter-Noise 2007, Istanbul, Turkey, 2007.
[30] M. Adams, and N. Bruce, , “Soundwalking as a methodology for understanding soundscapes”, In Proceedings of the Institute of Acoustics Spring Conference, Reading, UK, 30:2 552-58 (2008).
[31] Favourite sounds, http://www.favouritelondonsounds.org/
[32] William J Davies, The positive soundscape project, 19th International Congress on Acoustics, 2007.
[33] Jianyu Fan, Automatic Soundscape Affect Recognition Using A Dimensional Approach, JAES Volume 64 Issue 9 pp. 646-653, September 2016.
[34] Cheng-Kai Hsu, Comparison of Music Emotion Classification and Interpretation System Based on Different Genre of Training Data and Applied to Soundscape Emotion Recognition and Mixing Audio Analysis, 2017.
[35] S. Viollon, Multidimensional Assessment of the Acoustic Quality of Urban
Environments, The 29th International Congress and Exhibition on Noise Control Engineering, 2000.
[36] Keiji Kawaia, Personal Evaluation Structure of Environmental Sounds: Experiments of
Subjective Evaluation Using Subjects’ Own Terms, Journal of Sound and Vibration 277 (2004) 523–533.
[37] Daniel Västfjäll, Sound Quality Evaluation of Urban Traffic Soundscapes, Euronoise
Naples, 2003.
[38] Paola Moscoso, Emotional Associations with Soundscape Reflect Human-Environment
Relationships, Journal of Ecoacoustics, 2018.
[39] B. Defréville and C. Lavandier, “The contribution of sound source char- acteristics in the
assessment of urban soundscapes,” Acta. Acust. Acust. 92, 912–921, 2006.
[40] C. Guastavino, B. Katz, J. Polack, D. Levitin, and D. Dubois,“Ecological Validity of
Soundscape Reproduction,”Acta. Acust. Acust. 91, 333–341, 2005.
[41] M. Casey,“Mpeg-7 sound recognition tools,”IEEE Trans. Circuits Syst. Video
Technol. 11, 737–747, 2001.
[42] L. Rabiner and B. Juang, Fundamentals of Speech Recognition (Prentice- Hall,
Englewood Cliffs, NJ, 1993).
[43] K. ElMaleh, A. Samouelian, and P. Kabal,“Frame level noise classification in
mobile environments,”in Proceedings of the IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP), Phoenix, AZ, March 1999.
[44] C. M. Bishop, Neural Networks for Pattern Recognition (Oxford Univer- sity Press,
Wulton Street, Oxford, 1995).
[45] M. Thorogood and P. Pasquier, “Computationally Generated Soundscapes with Audio
Metaphor,” Proceedings of the 4th International Conference on Computational Creativity,
pp. 1–7, Sydney, Australia (2013).
[46] M. Thorogood, J. Fan, and P. Pasquie, “BF- Classifier: Background/Foreground
Classification and Segmentation of Soundscape Recordings,” Proceedings of the 10th
Audio Mostly, Thessaloniki, Greece (2015). http://dx.doi.org/10.1145/2814895.2814926
[47] C. L. Krumhansl, “A Perceptual Analysis of Mozart's Piano Sonata K. 282:
Segmentation, Tension, and Musical Ideas”, Music Perception, Vol. 13, No. 3, pp.
401-432, 1996.
[48] J. A. Sloboda, A. C. Lehmann, “Tracking Performance Correlates of Changes in
Perceived Intensity of Emotion During Different Interpretations of a Chopin Piano
Prelude”, Music Perception, Vol. 19, No. 1, pp. 87-120, 2001.
[49] E. Schubert, W. Dunsmuir, “Regression modelling continuous data in music
psychology” Music, Mind, and Science, pp. 298-352, 1999.
[50] J. Kang*, M. Zhang, Semantic Differential Analysis of the Soundscape in Urban Open Public Spaces, Building and Environment 45 (2010) 150–157
[51] M.Raimbault, C.Lavandier, M.Bérengier, Ambientsound Assessment of Urban Environments:Field Studies in Two French Cities. Applied Acoustics 64 (2003) 1241–1256.
[52] A. Zeitler, J. Hellbrück, Semantic Attributes of Environmental Sounds and their
Correlations with Psychoacoustic Magnitudes. Proceedings of The 17th International Congress on Acoustics (ICA), Rome, Italy, Sep. 2001.
[53] P. Kuppens, D. Champagne, and F. Tuerlinckx, “The Dynamic Interplay between
Appraisal and Core Affect in Daily Life,” Frontiers in Psychology, vol. 3, pp. 1–8, 2012.
電子全文 電子全文(網際網路公開日期:20241116)
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top