构建100首即兴歌曲情感数据集，探索音乐与情绪关系
EMO100DB: An Open Dataset of Improvised Songs with Emotion Data
- 基于情绪环模型，收集20人即兴创作的旋律、歌词与伴奏
- 涵盖4类情绪分区，含歌词文本、MIDI与WAV音频文件
- 适合音乐生成、情感计算研究者使用
本研究介绍Emo100DB：一个包含即兴歌曲及其情感标注的数据集，依据Russell的情绪环模型构建。数据由20名年轻人在即兴创作旋律、歌词和伴奏后录制并转录而成，每首歌曲创作前均记录其唤醒度与效价水平。数据集按情绪四象限组织，包含歌词文本、从录音中提取的旋律MIDI文件及原始WAV音频。该数据集整合了多模态音乐与情感信息，旨在支持音乐与情绪关联的多样化研究。
原文摘要 · Abstract (English)
In this study, we introduce Emo100DB: a dataset consisting of improvised songs that were recorded and transcribed with emotion data based on Russell's circumplex model of emotion. The dataset was developed by collecting improvised songs that consist of melody, lyrics, and an instrumental accompaniment played, sung, and recorded by 20 young adults. Before recording each song, the participants were asked to report their emotional state, with the axes representing arousal and valence based on Russell's circumplex model of emotions. The dataset is organized into four emotion quadrants, and it includes the lyrics text and MIDI file of the melody extracted from the participant recordings, along with the original audio in WAV format. By providing an integrated composition of data and analysis, this study aims to offer a comprehensive dataset that allows for a diverse exploration of the relationship between music and emotion.
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