Estimating note intensities in music recordings
Estimating note intensities in music recordings
复制标题
估计音乐录音中的音符强度
DOI：
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发表时间：
2011
期刊：
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通讯作者：
Meinard Müller
中科院分区：
文献类型：
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作者：
Sebastian Ewert;Meinard Müller
在本文中，我们提出了自动化的方法来估计音乐录音中的音符强度。给定一个音乐文件（代表乐谱）和一段音频记录（代表解释），我们的想法是通过利用音乐信息来参数化音频记录的声谱图，然后从得到的模型中估计音符强度。该模型基于音符事件谱图的思想，描述了可以归因于给定音符事件的谱图的一部分。在使用音频分析器提供的音符事件初始化我们的模型之后，我们调整所有模型参数，以便我们的模型频谱图尽可能准确地近似音频频谱图。虽然音符的强度估计是一个非常具有挑战性的任务，一般的音乐，我们的实验表明，有前途的结果复调钢琴音乐。
In this paper, we present automated methods for estimating note intensities in music recordings. Given a MIDI file (representing the score) and an audio recording (representing an interpretation) of a piece of music, our idea is to parametrize the spectrogram of the audio recording by exploiting the MIDI information and then to estimate the note intensities from the resulting model. The model is based on the idea of note-event spectrograms describing the part of a spectrogram that can be attributed to a given note event. After initializing our model with note events provided by the MIDI, we adapt all model parameters such that our model spectrogram approximates the audio spectrogram as accurately as possible. While note-wise intensity estimation is a very challenging task for general music, our experiments indicate promising results on polyphonic piano music.