{"title":"Feature Extraction and Analysis for Emotion Recognition in Songs using PRAAT Software","authors":"Ms. Jumpi Dutta, D. Chanda","doi":"10.1109/ComPE53109.2021.9752086","DOIUrl":null,"url":null,"abstract":"Emotion plays an important role in communication. Music emotion recognition is the extraction of emotion present in a song sample. Pitch, intensity and formants frequencies are important features to identify the emotion in an audio signal. In this paper, different features like pitch, intensity and formant frequencies have been extracted for emotion recognition in songs and then their analysis is carried out. PRAAT software is used to extract these features. Three different emotions namely happy, sad and angry are considered for this work. The RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) emotional songs database is used for emotion analysis. Finally, the significance of each feature for different emotions has been detected and analyzed.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE53109.2021.9752086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Emotion plays an important role in communication. Music emotion recognition is the extraction of emotion present in a song sample. Pitch, intensity and formants frequencies are important features to identify the emotion in an audio signal. In this paper, different features like pitch, intensity and formant frequencies have been extracted for emotion recognition in songs and then their analysis is carried out. PRAAT software is used to extract these features. Three different emotions namely happy, sad and angry are considered for this work. The RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) emotional songs database is used for emotion analysis. Finally, the significance of each feature for different emotions has been detected and analyzed.
情感在沟通中起着重要的作用。音乐情感识别是对歌曲样本中存在的情感进行提取。音高、强度和共振峰频率是识别音频信号中情感的重要特征。本文通过提取歌曲的音高、强度、峰频率等不同特征进行情感识别，并对其进行分析。使用PRAAT软件提取这些特征。这幅作品考虑了三种不同的情绪，即快乐、悲伤和愤怒。RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)情感歌曲数据库用于情感分析。最后，检测并分析了每个特征对不同情绪的意义。
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