如何使用Python对麦克风/线路输入进行FFT
我试图计算来自麦克风输入的声音的FFT。FFT是使用Python的Numpy计算的。当我使用保存的wave文件时，它已经开始工作了。现在我想用来自麦克风输入的数据来实现这一点 文件fft.py如何使用Python对麦克风/线路输入进行FFT,python,numpy,struct,raspberry-pi,fft,Python,Numpy,Struct,Raspberry Pi,Fft,我试图计算来自麦克风输入的声音的FFT。FFT是使用Python的Numpy计算的。当我使用保存的wave文件时，它已经开始工作了。现在我想用来自麦克风输入的数据来实现这一点 文件fft.py import numpy as np from struct import unpack power = [] # Return power array index corresponding to a particular frequency def piff(val, sample_rate, c
import numpy as np
from struct import unpack
power = []
# Return power array index corresponding to a particular frequency
def piff(val, sample_rate, chunk):
return int(4 * chunk * val/sample_rate)
def calculate_levels(matrix, weighting, data, chunk, sample_rate):
# Convert raw data (ASCII string) to numpy array
data = unpack("%dh"%(len(data)/2),data)
data = np.array(data, dtype='h')
# Apply FFT - real data
fourier = np.fft.rfft(data)
# Remove last element in array to make it the same size as chunk
fourier = np.delete(fourier, len(fourier) - 1)
# Find average 'amplitude' for specific frequency ranges in Hz
power = np.abs(fourier)
lower_bound = 0
upper_bound = 32
for i in range(len(matrix)):
mean = np.mean(power[piff(lower_bound, sample_rate, chunk) : piff(upper_bound, sample_rate, chunk):1])
matrix[i] = int(mean) if np.isnan(mean) == False else 0
lower_bound = upper_bound
upper_bound = upper_bound << 1
# Tidy up column values for the LED matrix
matrix = np.multiply(matrix, weighting)
# Set all values smaller than first argument to 0, all greater than second argument to 4095
matrix = matrix.clip(0, 4095)
return matrix
File "fft.py", line 13, in calculate_levels
data = unpack("%dh"%(len(data)/2),data)
struct.error: unpack requires a string argument of length 2048
print type(data)
print data
data = unpack("%dh"%(len(data)/2),data)
print type(data)
print data
data = np.array(data, dtype='h')
<type 'str'>
\F9\FFDi\84\80:\CE\D2\EE}`&\89 \9B\9E \E6\B3\CEi
// and some more unreadable values
<type 'tuple'>
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<type 'str'>
\86a\EAO (\CF
// and some more unreadable values
<type 'tuple'>
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<type 'str'>
\86a\EAO (\CF
\8A\FA\D5\9ABG\99
Traceback (most recent call last):
File "myprogram.py", line 409, in listen
matrix = calculate_levels(matrix, weighting, data, args.chunk, args.sample_rate)
File "fft.py", line 17, in calculate_levels
data = unpack("%dh"%(len(data)/2),data)
struct.error: unpack requires a string argument of length 28
此外，麦克风发出的声音被录制并写入test.wav，但录制时没有输出。毕竟，没有声音输出我会很满意。在这里，我将麦克风发出的声音分割，然后再进入声卡似乎问题在于数据解析。根据给定的输出，数据不完全是字符串。如果它包含不可解析的符号，则可能发生异常。 我建议尝试使用数据类型：将其解析为repr，在解包之前转换为unicode或其他格式，消除不可解析的符号。。。 要查找不可解析的符号，可以使用loop，giving从数据中解包每个符号，直到失败。 如果我没弄错的话，符号会被斜杠分开/
HTH.您能提供一个最低限度的工作示例吗？当然。请参阅已编辑的文章。什么是包含库？已将包含库添加到文章中。我仍然有名称错误：未定义名称“args”
<type 'str'>
\F9\FFDi\84\80:\CE\D2\EE}`&\89 \9B\9E \E6\B3\CEi
// and some more unreadable values
<type 'tuple'>
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1223, 358, 1834, -253, 1592, -1279, 499, -1207, 830, -675, 558, -1843, -400, -2675, 1257, -616, 2825, 639, 808, -1402, -487, -2721, 807, -1708, 703, -1120, -230, -1089, 830, -817, 1058, -1263, -829, -2162, -1325, -1992, -104, -739, 524, 481, 49, 239, -1104, -1179, -1233, -1210, -266, 177, -626, 265, -1584, -866, -1148, -1086, -626, -612, -621, -507, -419, -498, -510, -335, -144, -200, 866, 164, 1237, 516, 1569, 526, 2606, 1009, 2924, 1696, 2476, 1401, 3153, 1339, 4358, 2067, 3798, 1466, 2466, 227, 2649, 518, 2940, 751, 2358, -99, 2548, -48, 2172, 324, 326, -450, 230, -722, 1865, 411, 1834, 485, 346, -758, -277, -537, 446, 1002, 619, 527, -790, -1503, -1401, -1608, -988, -478, -2039, -587, -3092, -1511, -2225, -1516, -1332, -643, -777, 580, -765, 605, -1777, -845, -659, -759, 1550, 908, 148, 221, -1697, -1383, -155, -300, 596, 616, -459, -1002, -145, -1579, 877, -263, 1257, 230, 1613, 166, 1340, 648, 1207, 1061, 2685, 1292, 4016, 1880, 4375, 2573, 5205, 2973, 5332, 2842, 3979, 2320, 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<type 'str'>
\86a\EAO (\CF
// and some more unreadable values
<type 'tuple'>
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<type 'str'>
\86a\EAO (\CF
\8A\FA\D5\9ABG\99
Traceback (most recent call last):
File "myprogram.py", line 409, in listen
matrix = calculate_levels(matrix, weighting, data, args.chunk, args.sample_rate)
File "fft.py", line 17, in calculate_levels
data = unpack("%dh"%(len(data)/2),data)
struct.error: unpack requires a string argument of length 28