和弦检测算法？ [英] Chord detection algorithms?

问题描述

我正在开发软件，取决于音乐的和弦检测。我知道有些算法基音检测，基于倒频谱分析或自相关技术，但它们主要集中在单声道材料识别。但我需要在同一时间用一些和弦识别工作，即多个球场，就像在一个和弦;没有人知道关于这个问题的一些很好的研究或解决方案？

I am developing software that depends on musical chords detection. I know some algorithms for pitch detection, with techniques based on cepstral analysis or autocorrelation, but they are mainly focused on monophonic material recognition. But I need to work with some polyphonic recognition, that is, multiple pitches at the same time, like in a chord; does anyone know some good studies or solutions on that matter?

我目前正在开发一些算法的基础上FFT，但如果任何人有一些算法或技术，我可以用一个想法，那将是很大的帮助。

I am currently developing some algorithms based on the FFT, but if anyone has an idea on some algorithms or techniques that I can use, it would be of great help.

推荐答案

这是一个相当不错的开源项目： <一href="https://patterns.enm.bris.ac.uk/hpa-software-package">https://patterns.enm.bris.ac.uk/hpa-software-package

This is quite a good Open Source Project: https://patterns.enm.bris.ac.uk/hpa-software-package

有检测根据一个chromagram和弦 - 一个好的解决办法，打破了整个频谱的窗口上的间距类（尺寸：12）的阵列与浮点值。然后，和弦可以通过一个隐马尔可夫模型来检测

It detects chords based on a chromagram - a good solution, breaks down a window of the whole spectrum onto an array of pitch classes (size: 12) with float values. Then, chords can be detected by a Hidden Markov Model.

......应该向您提供您所需要的一切。 ：）

.. should provide you with everything you need. :)

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