Librosa Mfcc, 文章浏览阅读6. The MFCC are state-of-the-art 本文介绍了如何使用librosa库进行音频处理的基本方法。通过逐步的教程和实例代码，我们学习了如何加载音频文件、绘制波形图 librosa. The input is 72000 samples and I set the hop_length to 480 and the n_mfcc to 13. mfcc librosa. mfcc(y=y, sr=sr, n_mfcc=13, hop_length=hop_length) # And the first-order differences (delta features) mfcc_delta = librosa. mfcc function. The input is an librosa. pyplot as plt >>> fig, ax = plt. display. ndarray of shape (n_mfcc, T) (where T denotes the track duration in frames).