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我試着去提取wav文件的一些特點,我有:pyAudioAnalysis庫錯誤:無法重塑尺寸4400型數組形狀(220,10)
進出口使用特徵提取的工具pyAudioAnalysis庫:
https://github.com/tyiannak/pyAudioAnalysis/wiki/3.-Feature-Extraction
的問題是,即時得到numpy的的reshape()
功能的錯誤。林下面的如何使用特徵提取作爲維基這樣的準則:
[Fs, x] = audioBasicIO.readAudioFile('13 Clock in the Morning - Waiters the Free Music Archive (No Copyright Music).wav')
F = audioFeatureExtraction.stFeatureExtraction(x, Fs, 0.050 * Fs, 0.025 * Fs)
這是我的錯誤:
1 [Fs, x] = audioBasicIO.readAudioFile("song-wavs/"+song.name)
----> 2 F = audioFeatureExtraction.stFeatureExtraction(x, Fs, 0.050 * Fs, 0.025 * Fs)
pyAudioAnalysis/audioFeatureExtraction.pyc in stFeatureExtraction(signal, Fs, Win, Step)
575 curFV[0] = stZCR(x) # zero crossing rate
576 curFV[1] = stEnergy(x) # short-term energy
--> 577 curFV[2] = stEnergyEntropy(x) # short-term entropy of energy
578 [curFV[3], curFV[4]] = stSpectralCentroidAndSpread(X, Fs) # spectral centroid and spread
579 curFV[5] = stSpectralEntropy(X) # spectral entropy
pyAudioAnalysis/audioFeatureExtraction.pyc in stEnergyEntropy(frame, numOfShortBlocks)
49 frame = frame[0:subWinLength * numOfShortBlocks]
50 # subWindows is of size [numOfShortBlocks x L]
---> 51 subWindows = frame.reshape(subWinLength, numOfShortBlocks, order='F').copy()
52
53 # Compute normalized sub-frame energies:
ValueError: cannot reshape array of size 4400 into shape (220,10)
誰能告訴我怎樣才能解決這個問題重塑和什麼是我做這是造成它?