過去胡適先生寫了一篇《讀書》── 談讀書四到 ── 眼到，口到，心到，手到 ── 對今天的學子來說依然十分有益。

⊙ㄚ！！『讀書』一事，怎是一個□字了得？『讀錯了書』是書不好 ，『錯讀得書』是讀不好。該如何是好？也許有個順口溜，能夠回答這個問題︰

好讀不？不好ㄏㄠˇ讀，所以讀不好。
不讀好，考不好！怕是不好ㄏㄠˋ讀。

─── 要是好，需是了，不了就不好 ─── 紅樓夢

─── 《讀錯□書⊙錯讀□書》

 

若人與『錯誤』不期而遇︰

ParameterError: Input buffer must be contiguous.

 

或許指明『讀時不了』之事︰

librosa.display.waveplot

librosa.display.waveplot(y, sr=22050, max_points=50000.0, x_axis=’time’, offset=0.0, max_sr=1000, **kwargs)

Plot the amplitude envelope of a waveform.

If y is monophonic, a filled curve is drawn between [-abs(y), abs(y)].

If y is stereo, the curve is drawn between [-abs(y[1]), abs(y[0])], so that the left and right channels are drawn above and below the axis, respectively.

Long signals (duration >= max_points) are down-sampled to at most max_sr before plotting.

Parameters:	y : np.ndarray [shape=(n,) or (2,n)] audio time series (mono or stereo)

 

恰是『補過』之時？！

Advanced I/O Use Cases

This section covers advanced use cases for input and output which go beyond the I/O functionality currently provided by librosa.

import librosa
import soundfile as sf

# Get example audio file
filename = librosa.util.example_audio_file()

data, samplerate = sf.read(filename, dtype='float32')
data = data.T
data_22k = librosa.resample(data, samplerate, 22050)

 

正好『反省思辨』也！？