关于 FFT 和音调估计的几个问题
我需要对 FFT 和音调估计进行一些一般性的澄清。
1.) 我读到，FFT 的块大小越大，其精度就越高，尽管我知道这也有一个缺点。这是真的吗？因为我一直在试验，每当我使用 16384 的块大小而不是 8192 或 4096 时，我都会得到更糟糕的结果。有人可以向我解释一下吗？
2.) 最初，我认为从 FFT 获取音调只是获取最高强度的 bin 的简单问题。然而，在在这里发布并阅读了一些问题之后，我认为可能还有更多这样的问题。有人可以建议我如何从 FFT 中获得良好的音高估计吗？
3.）虽然我已经有了一个好主意，但有人可以简单地解释一下自相关器算法的作用吗？ （我的想法是，它基本上是一种比较和对比算法，并且选择差异最小的算法）
非常感谢！
I have a couple of clarifications that I need with FFT and Pitch Estimation in general.
1.) I read that the larger your block size for your FFT, the better accuracy it will have, although I know that there is also a downside to this. Is this really true? Because Ive been experimenting and whenever I use a block size of 16384 as opposed to 8192 or 4096, I get worse results. Can someone clarify me about this?
2.) Initially, I believed that getting the pitch from the FFT is only a simple matter of getting the bin with the highest intensity. However, after posting and reading some questions here, I think that there may be more the this. Can someone suggest me on how to get a good pitch estimation from FFT?
3.) Although I already have a good idea, can someone just explain in simple terms what the auto-correlator algorithm does? (My idea is that its basically a compare and contrast algorithm and the one with the lowest difference is the chosen one)
Thanks a lot!
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