将TIMIT数据库中的Nist Wav文件读入python numpy数组 [英] Read Nist Wav File in TIMIT database into python numpy array

问题描述

这可能吗?从scikits.audiolab使用wavread时，似乎出现此错误:

Is this possible?? I seem to be getting this error when using wavread from scikits.audiolab:

x86_64.egg/scikits/audiolab/pysndfile/matapi.pyc in basic_reader(filename, last, first)
     93             if not hdl.format.file_format == filetype:
     94                 raise ValueError, "%s is not a %s file (is %s)" \
---> 95                       % (filename, filetype, hdl.format.file_format)
     96 
     97             fs = hdl.samplerate

ValueError: si762.wav is not a wav file (is nist)

我猜测它不能读取NIST wav文件，但是还有另一种方法可以轻松地将它们读取到numpy数组中吗?如果没有，那么读入数据的最佳方法是什么?

I'm guessing it can't read NIST wav files but is there another way to easily read them into a numpy array? If not, what is the best way to go about reading in the data?

可能会重写audiolab wavread以识别nist标头?

Possibly rewriting the audiolab wavread to recognize the nist header??

推荐答案

回答我自己的问题，因为已经解决了，但是您可以使用scikits.audiolab中的Sndfile类，该类支持多种读写文件格式，具体取决于libsndfile你有.然后，您只需使用:

Answer my own question because figured it out but you can use the Sndfile class from scikits.audiolab which supports a multitude of reading and writing file formats depending on the libsndfile you have. Then you just use:

from scikits.audiolab import Sndfile, play
f = Sndfile(filename, 'r')
data = f.read_frames(10000)
play(data) # Just to test the read data

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