• 沒有找到結果。

本研究彙整各種情緒模型提出一種新的視覺化即時性音樂情緒表示方式,有別 於一般即時性研究將音樂對只對應到單一情緒,這邊採用四種基本的情緒成分比例 來表示,在強烈單一情緒的音樂中也能瞥見細微的其他情緒成分變動。

與 Zentner 的 GEM 模型比較最大問題在於,大家對於情緒形容詞的理解不同。

這也同樣存在於受測者認知的情緒形容詞和我們預想的感覺間,也是分析結果造成 差異的主因,受測者的對音樂的學習程度也同樣是尚未考慮的變數,對於有音樂學 習經驗的人在聽音樂時候對音樂內容感受的重點可能不如一般平常人而是更具學 習經驗而有不同感受。

本研究系統較心理學家的情緒模型優勢在於測試資料可以是使用者自行定義 的歌曲庫,每個使用者可以以自己感受的情緒音樂片段輸入系統去建立屬於各自專 屬的分類模型,這也可以大大降低主觀感受的認知落差。

45

參考文獻

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153-160, 2005

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[6] Maria M. Ruxanda, Bee Yong Chua, Alexandros Nanopoulos, Christian S.

Jensen, ”Emotion-based music retrieval on a well-reduced audio feature spaceg”, International Conference on Acoustics, Speech, and Signal Processing - ICASSP , pp.

181-184, 2009

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[9] Ei Ei Pe Myint, Moe Pwint, ”An approach for mulit-label music mood classification”, 2010 2nd International Conference on Signal Processing Systems, Volume 1,

PP.290-294, 2010

[10] Jonghwa Kim, Ande, E., ”Emotion Recognition Based on Physiological Changes in

46

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[12] Y.-H. Yang et al, “Mr. Emo: Music retrieval in the emotion plane,” Proc. ACM MM, 2008, accepted.

[13] Mark David Korhonen, “Modeling Continuous Emotional Appraisals of Music Using System Identification”, A thesis presented to the University of Waterloo, Canada, 2004 [14] Jun-Jie Fu, “Emotion Locus Tracking System for Automatic Mood Detection and

Classification of Music Signals” A thesis Submitted to National Chiao Tung University, Taiwan, 2010

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[16] 王鴻文,劉志俊, “MP3 音樂的聆賞情緒自動分類”, Journal of Information Technology and Applications, Vol. 4, No. 4, pp. 160-171, 2010

[17] Zentner, Marcel; Grandjean, Didier; Scherer, Klaus R., ”Emotions evoked by the sound of music: Characterization, classification, and measurement.” Emotion, Vol 8(4), 494-521. , Aug 2008

[18] Chih-Chung Chang,Chih-Jen Lin, ”A Library for Support Vector Machines”, ACM Transactions on Intelligent Systems and Technology, Volume 2, Issue 3, Article 27, April 2011

[19] MIR toolbox,

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47

[21] Olivier Lartillot, Petri Toiviainen , “A Matlab Toolbox for Musical Feature Extraction From Audio”, the 10th Int. Conference on Digital Audio Effects (DAFx-07), Bordeaux, France, September 10-15, 2007

[22] Olivier Lartillot, ”Mir toolbox1.3.2 user’s manual”, Finnish Centre of Exce!ence in Interdisciplinary Music Research, University of Jyväskylä, Finland, January, 19th, 2011 [23] 李根逸, "支持向量機教學文件(中文版)", 台灣大學通訊與多媒體實驗室

[24] 林宗勳, ”Support Vector Machines 簡介”, 台灣大學通訊與多媒體實驗室, 2006

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27 not going anywhere Keren Ann Content 28 not going anywhere Keren Ann Content

29 Polly Keren Ann Content

49

35 Seventeen Keren Ann Content

36 Stephanie Says Keren Ann Content 37 Stephanie Says Keren Ann Content

38 In My Life 藤田惠美 Content

39 In My Life 藤田惠美 Content

40 Moonglow Noon Content

41 Moonglow Noon Content

42 I like to recognize the tune John Pizzarelli Content

43 Close to You Noon Content

44 Mountain Greenery John Pizzarelli Content 45 Moon River Fried Pride Content

56 The Following Day Jacques Stotzem Depression 57 All I need Radiohead Depression 58 red sky David Gilmour Depression 59 red sky David Gilmour Depression 60 the hill Marketa Irglova Depression 61 the hill Marketa Irglova Depression 62 the hill Marketa Irglova Depression

63 view of silence 久石讓 Depression

64 view of silence 久石讓 Depression

65 Le dessous des cartes Jacques Stotzem Depression 66 accidental babies Damien Rice Depression

67 空房間 The Daydream Depression

68 summer 久石讓 Depression

69 summer 久石讓 Depression

70 Vent D'Ailleurs Jacques Stotzem Depression 71 Gloomy Sunday Loreena McKennitt Depression

50

72 Sleep dont weep Damien Rice Depression 73 Secret Garden Jacques Stotzem Depression 74 Secret Garden Jacques Stotzem Depression 75 walking in the air 藤田惠美 Depression 76 Secret Garden Jacques Stotzem Depression

77 legend of wind 久石讓 Depression

78 Fragile dream 久石讓 Depression

79 Fragile dream 久石讓 Depression

80 paun haung 久石讓 Depression

81 寂靜 鄭智薰 Depression

82 Moonlight Beethoven Depression

83 who am i FF7 OST Depression

84 end of may Keren Ann Depression 85 by the cathedral Keren Ann Depression 86 ending song Keren Ann Depression 87 ending song Keren Ann Depression 88 do what i do Keren Ann Depression 89 do what i do Keren Ann Depression 90 walk real slow Keren Ann Depression 91 the morning after Keren Ann Depression

92 new born Muse Depression

93 Space Dementia Muse Depression

94 DarkShines Muse Depression

95 Paranoid Android Radiohead Depression

96 15 steps Radiohead Anxious

108 Assasain major like Muse Anxious

51

109 Uno Muse Anxious

110 Uno Muse Anxious

111 CityOfDelusion Muse Anxious

112 CityOfDelusion Muse Anxious

113 CityOfDelusion Muse Anxious

114 Sober Muse Anxious

115 Sober Muse Anxious

116 Sober Muse Anxious

117 Knights of Cydonia Muse Anxious 118 Knights of Cydonia Muse Anxious 119 Knights of Cydonia Muse Anxious 120 Stockholm Syndrome Muse Anxious 121 Stockholm Syndrome Muse Anxious 122 Stockholm Syndrome Muse Anxious 123 ThoughtsofaDyingAtheist Muse Anxious 124 ThoughtsofaDyingAtheist Muse Anxious 125 ThoughtsofaDyingAtheist Muse Anxious

126 NewBorn Muse Anxious

127 NewBorn Muse Anxious

128 NewBorn Muse Anxious

129 NewBorn Muse Anxious

130 Space Dementia Muse Anxious

131 Space Dementia Muse Anxious

132 Hypermusic Muse Anxious

133 Hypermusic Muse Anxious

134 Hypermusic Muse Anxious

135 Citzen Erased Muse Anxious

136 Citzen Erased Muse Anxious

137 Micro Cuts Muse Anxious

138 Micro Cuts Muse Anxious

139 Dark Shines Muse Anxious

140 Paranoid Android Radiohead Anxious 141 Electioneering Radiohead Anxious 142 Electioneering Radiohead Anxious 143 Electioneering Radiohead Anxious

144 skyskysky DEPAPEPE Exuberant

145 skyskysky DEPAPEPE Exuberant

52

146 depa canon DEPAPEPE Exuberant

147 star youha Exuberant

148 star youha Exuberant

149 selfish jean travis Exuberant 150 selfish jean travis Exuberant 151 Tall Fiddler Tommy Emmanuel Exuberant 152 Tall Fiddler Tommy Emmanuel Exuberant 153 when your mind's made up Glen Hansard Exuberant 154 day tripper Beatles Exuberant 155 day tripper Beatles Exuberant 156 I can do better Avril Lavigne Exuberant 157 Electric de Chocobo FF7 OST Exuberant 158 Electric de Chocobo FF8 OST Exuberant 159 Fiddle de Chocobo FF9 OST Exuberant 160 Fiddle de Chocobo FF10 OST Exuberant

161 Highwind FF11 OST Exuberant

162 Ride on FF12 OST Exuberant

163 Ride on FF13 OST Exuberant

164 Kurumi Mr. Children Exuberant 165 Kurumi Mr. Children Exuberant

166 masa ume Spitz Exuberant

167 masa ume Spitz Exuberant

168 spring song Spitz Exuberant

169 spring song Spitz Exuberant

170 summer paeade DEPAPEPE Exuberant 171 wherever you will go The Calling Exuberant 172 wherever you will go The Calling Exuberant 173 new world L’arc en Ciel Exuberant

179 star chaser Spitz Exuberant

180 star chaser Spitz Exuberant

181 Am I Wry No Mew Exuberant

182 Eurostar T Square Exuberant

53

183 Eurostar T Square Exuberant

184 Fightman T Square Exuberant

185 Birdland Weather Report Exuberant 186 Birdland Weather Report Exuberant 187 the man in the green shirt Weather Report Exuberant 188 jerry's breakdown D'Agostino Exuberant 189 tennesee rag Chet Atkins Exuberant 190 Higher The Band Apart Exuberant 191 when you wish upon a star The Band Apart Exuberant 192 I love you Wasted Junks & Greens The Band Apart Exuberant

54

附錄二. 音樂情緒問卷

55

附錄三. 問卷調查受測者資料 1. 男女分布

2. 年級分布

3. 系別分布

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附錄四. 測試音樂結果

一、

Avenged Sevenfold - Dear God

1. 問卷計分統計

2. 問卷情緒比例

57

3. 結果分析

58

二、

Celine Dion - My heart will go on

1. 問卷計分統計

2. 問卷情緒比例

3. 結果分析

59

三、

Chopin - Nocturne opus 9 no 2

1. 問卷計分統計

2. 問卷情緒比例

3. 結果分析

60

四、

Debussy - Claire de lune

1. 問卷計分統計

2. 問卷情緒比例

3. 結果分析

61

五、

Carpenters - Goodbye to Love

1. 問卷計分統計

2. 問卷情緒比例

3. 結果分析

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六、

Edith Piaf - La Vie En Rose

1. 問卷計分統計

2. 問卷情緒比例

3. 結果分析

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