我从here获得了此代码。当我尝试在Python上运行它时(我使用的是Python 3.6),它遇到了这个错误:
runfile('C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT/SIGNLABPROJ.py', wdir='C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT')
* recording
C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT/SIGNLABPROJ.py:75: RuntimeWarning: invalid value encountered in true_divide
obj = np.real(np.dot(avg_freq_buffer[1:51], np.abs(freq_synth[1:100:2])) / np.dot(freq_synth[1:100:2], np.conj(freq_synth[1:100:2])))
C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT/SIGNLABPROJ.py:76: RuntimeWarning: invalid value encountered in greater
if obj > obj_last:
Traceback (most recent call last):
File "<ipython-input-1-3d1fe0eb2795>", line 1, in <module>
runfile('C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT/SIGNLABPROJ.py', wdir='C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT')
File "C:\Users\vsecadesang\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile
execfile(filename, namespace)
File "C:\Users\vsecadesang\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/vsecadesang/Desktop/5th year/2nd sem/SIGNLAB/PROJECT/SIGNLABPROJ.py", line 99, in <module>
stream.write(string_audio_data, CHUNK)
File "C:\Users\vsecadesang\Anaconda3\lib\site-packages\pyaudio.py", line 586, in write
exception_on_underflow)
KeyboardInterrupt
我不知道到底出了什么问题,请帮忙。以下是以下代码:
import pyaudio
import numpy as np
import scipy.signal
CHUNK = 1024*2
WIDTH = 2
DTYPE = np.int16
MAX_INT = 32768.0
CHANNELS = 1
RATE = 11025*1
RECORD_SECONDS = 20
j = np.complex(0,1)
p = pyaudio.PyAudio()
stream = p.open(format=p.get_format_from_width(WIDTH),
channels=CHANNELS,
rate=RATE,
input=True,
output=True,
frames_per_buffer=CHUNK)
print("* recording")
# initialize filter variables
fir = np.zeros(CHUNK * 2)
fir[:(2*CHUNK)] = 1.
fir /= fir.sum()
fir_last = fir
avg_freq_buffer = np.zeros(CHUNK)
obj = -np.inf
t = 10
# initialize sample buffer
buffer = np.zeros(CHUNK * 2)
#for i in np.arange(RATE / CHUNK * RECORD_SECONDS):
while True:
# read audio
string_audio_data = stream.read(CHUNK)
audio_data = np.fromstring(string_audio_data, dtype=DTYPE)
normalized_data = audio_data / MAX_INT
freq_data = np.fft.fft(normalized_data)
# synthesize audio
buffer[CHUNK:] = np.random.randn(CHUNK)
freq_buffer = np.fft.fft(buffer)
freq_fir = np.fft.fft(fir)
freq_synth = freq_fir * freq_buffer
synth = np.real(np.fft.ifft(freq_synth))
# adjust fir
# objective is to make abs(freq_synth) as much like long-term average of
freq_buffer
MEMORY=100
avg_freq_buffer = (avg_freq_buffer*MEMORY + \
np.abs(freq_data)) / (MEMORY+1)
obj_last = obj
obj = np.real(np.dot(avg_freq_buffer[1:51], np.abs(freq_synth[1:100:2])) / np.dot(freq_synth[1:100:2], np.conj(freq_synth[1:100:2])))
if obj > obj_last:
fir_last = fir
fir = fir_last.copy()
# adjust filter in frequency space
freq_fir = np.fft.fft(fir)
#t += np.clip(np.random.randint(3)-1, 0, 64)
t = np.random.randint(100)
freq_fir[t] += np.random.randn()*.05
# transform frequency space filter to time space, click-free
fir = np.real(np.fft.ifft(freq_fir))
fir[:CHUNK] *= np.linspace(1., 0., CHUNK)**.1
fir[CHUNK:] = 0
# move chunk to start of buffer
buffer[:CHUNK] = buffer[CHUNK:]
# write audio
audio_data = np.array(np.round_(synth[CHUNK:] * MAX_INT), dtype=DTYPE)
string_audio_data = audio_data.tostring()
stream.write(string_audio_data, CHUNK)
print("* done")
stream.stop_stream()
stream.close()
p.terminate()