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研究生:陳禔多
論文名稱:基於歌詞文本分析技術探討音樂情緒辨識之方法研究
論文名稱(外文):Exploring Music Emotion Recognition via Textual Analysis on Song Lyrics
指導教授:蔡銘峰蔡銘峰引用關係
學位類別:碩士
校院名稱:國立政治大學
系所名稱:資訊科學學系
學門:工程學門
學類:電資工程學類
畢業學年度:104
語文別:中文
論文頁數:26
中文關鍵詞:音樂情緒辨識
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音樂是一種情感豐富的媒體。即使跨越了數個世紀,人們還是會
對同一首歌曲的情緒表達有類似的理解。然而在現今的數位音樂資料
庫可以看出,我們是不可能憑著人力完成數量如此龐大的音樂情緒辨
識,也因此期待電腦可以協助完成如此繁重的工作。隨著機器學習的
發展,電腦逐漸可以透過統計模型與數學模型判斷與辨識一些並未事
先提供規則的資料,而無法言傳的音樂情緒也得以有機會交由電腦辨
識、分類。雖然目前有許多透過訊號處理技術進行的音樂辨識研究,
但是透過歌詞文本的辨識卻是相對少見,使用的特徵也多侷限於通用
的文字資訊。本研究以音訊特徵為基礎,從不同的歌詞文本資訊出
發,透過分析歌詞文本進行歌曲情緒辨識,提供更多優化的參考資
訊,藉以提升歌曲於交流、表達、推薦等互動的功能性與準確性。實
驗結果發現,歌詞文本資訊對於歌曲的正負面情緒辨識確實有相當好
的表現,而對於特定分類的限制則是值得更多透過不同自然語言處理
的方法強化的。
1 導論. . . . . . .1
2 文獻探討. . . . . . .3
2.1 情緒分類 . . . . . . .3
2.2 音樂情緒辨識. . . . . . . . . . . 3
2.2.1 聲音訊號. . . . . . . . . . 4
2.2.2 後設資料(Metadata) . . 4
2.2.3 歌詞文本. . . . . . . . . . 4
2.3 自然語言處理中的情感辨識. . . 5
2.4 歌詞的文字特性. . . . . . . . . . 5
2.5 機器學習在分類問題上之應用. . 6
3 研究方法. . . . . . .9
3.1 Support Vector Machine . . . . . . 9
3.1.1 實作. . . . . . . . . . . . 9
3.1.2 參數選用. . . . . . . . . . 10
3.2 特徵 . . . 10
3.2.1 全文單字. . . . . . . . . . 10
3.2.2 文本SUBTLEXus . . . . . 11
3.2.3 情感單字. . . . . . . . . . 11
3.3 資料集MER31k . . . . . . . . . . 11
4 實驗設計與結果分析15
4.1 實驗設定 15
4.1.1 資料集. . . . . . . . . . . 15
4.1.2 評估標準. . . . . . . . . . 16
4.2 實驗結果與分析. . . . . . . . . . 16
4.2.1 四象限的分類. . . . . . . 16
4.2.2 象限對象限的分類. . . . 16
5 結論. . . . . . .19
5.1 結果討論 . . . . . . .19
5.1.1 與過去研究之比較. . . . 19
5.1.2 特徵分析. . . . . . . . . . 19
5.2 未來發展方向. . . . . . . . . . . 20
參考文獻. . . . . . .23
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