我正在编写一段代码来分析人声唱出的单个音频频率。我需要一种方法来分析音符的频率。目前,我正在使用PyAudio来记录音频文件,该文件存储为.wav
,然后立即播放它。
import numpy as np
import pyaudio
import wave
# open up a wave
wf = wave.open('file.wav', 'rb')
swidth = wf.getsampwidth()
RATE = wf.getframerate()
# use a Blackman window
window = np.blackman(chunk)
# open stream
p = pyaudio.PyAudio()
stream = p.open(format =
p.get_format_from_width(wf.getsampwidth()),
channels = wf.getnchannels(),
rate = RATE,
output = True)
# read some data
data = wf.readframes(chunk)
print(len(data))
print(chunk*swidth)
# play stream and find the frequency of each chunk
while len(data) == chunk*swidth:
# write data out to the audio stream
stream.write(data)
# unpack the data and times by the hamming window
indata = np.array(wave.struct.unpack("%dh"%(len(data)/swidth),\
data))*window
# Take the fft and square each value
fftData=abs(np.fft.rfft(indata))**2
# find the maximum
which = fftData[1:].argmax() + 1
# use quadratic interpolation around the max
if which != len(fftData)-1:
y0,y1,y2 = np.log(fftData[which-1:which+2:])
x1 = (y2 - y0) * .5 / (2 * y1 - y2 - y0)
# find the frequency and output it
thefreq = (which+x1)*RATE/chunk
print("The freq is %f Hz." % (thefreq))
else:
thefreq = which*RATE/chunk
print("The freq is %f Hz." % (thefreq))
# read some more data
data = wf.readframes(chunk)
if data:
stream.write(data)
stream.close()
p.terminate()
问题出现在while循环中。某种原因导致条件从未满足。我输出了两个值(len(data)和(chunk * swidth)),它们分别为8192和4096。然后我尝试在while循环中使用2 * chunk * swidth,结果出现了错误:
File "C:\Users\Ollie\Documents\Computing A Level CA\pyaudio test.py", line 102, in <module>
data))*window
ValueError: operands could not be broadcast together with shapes (4096,) (2048,)
0xA
=10
=1010
。仅通过FFT运行数据无法给出基本频率。声音会产生多个频率,因此需要进行更多的处理和分析才能得到频率。 - amitchone