10 th International Society for Music Information Retrieval Conference ( ISMIR 2009 ) USING MUSICAL STRUCTURE TO ENHANCE AUTOMATIC CHORD TRANSCRIPTION
10 th International Society for Music Information Retrieval Conference ( ISMIR 2009 ) USING MUSICAL STRUCTURE TO ENHANCE AUTOMATIC CHORD TRANSCRIPTION
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第 10 届国际音乐信息检索学会会议 ( ISMIR 2009 ) 使用音乐结构增强自动和弦转录
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
S. Dixon
中科院分区：
文献类型：
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作者：
K. Noland;S. Dixon
从音频中提取和弦是一个成熟的音乐计算任务，近年来已经提出了许多有效的方法，使用不同的和弦模板，平滑技术和音乐上下文模型。目前的工作表明，额外开发的重复结构的歌曲，可以提高和弦提取，结合色度信息从多次出现的相同的片段类型。为了证明这一点，我们修改了现有的和弦标签方法，提供手动或自动段标签，并比较和弦提取结果收集的125首歌曲的基线方法没有分割信息。我们的方法可以产生一致且更易于阅读的和弦标签，并在统计上显着提高标签准确性。
Chord extraction from audio is a well-established music computing task, and many valid approaches have been presented in recent years that use different chord templates, smoothing techniques and musical context models. The present work shows that additional exploitation of the repetitive structure of songs can enhance chord extraction, by combining chroma information from multiple occurrences of the same segment type. To justify this claim we modify an existing chord labelling method, providing it with manual or automatic segment labels, and compare chord extraction results on a collection of 125 songs to baseline methods without segmentation information. Our method results in consistent and more readily readable chord labels and provides a statistically significant boost in label accuracy.