Question

我正在尝试从音频流中获取样本并将它们放入共享队列中。我有另一个从这个队列中拉出来的进程。

当我跑步时，我收到此错误：

* recording
Traceback (most recent call last):
  File "record.py", line 43, in <module>
    data = stream.read(CHUNK)
  File "/Library/Python/2.7/site-packages/pyaudio.py", line 605, in read
    return pa.read_stream(self._stream, num_frames)
IOError: [Errno Input overflowed] -9981

编辑：显然问题已经存在了一段时间没有发布解决方案（我尝试了他们的建议）：

这是（简化）代码：

import pyaudio
import wave
import array
import time
from multiprocessing import Queue, Process

CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
RECORD_SECONDS = 2

p = pyaudio.PyAudio()
left = Queue()
right = Queue()

def other(q1, q2):
    while True: 
        try:
                a = q1.get(False)
        except Exception:
            pass

        try:
                b = q2.get(False)
        except Exception:
            pass

stream = p.open(format=FORMAT,
                channels=CHANNELS,
                rate=RATE,
                input=True,
                frames_per_buffer=CHUNK)

print("* recording")
Process(target=other, args=(left, right)).start()

for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
    data = stream.read(CHUNK)
    byte_string = ''.join(data)
    nums = array.array('h', byte_string)
    for elt in nums[1::2]:
        left.put(elt)
    for elt in nums[0::2]:
        right.put(elt)

print("* done recording")

stream.stop_stream()
stream.close()
print "terminated"

我做错了什么？我在Mac OSX和Python 2.7上，我通过portaudio安装了homebrew并尝试了{python的pip和dmg安装，但没有运气。

Answer 1

缓冲区溢出错误是因为您的frames_per_buffer和读取chunksize可能太小。尝试更大的值，即512,2048,4096,8192等

CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
RECORD_SECONDS = 2

for CHUNK1 in [512,2048,4096,8192,16384]:
    for CHUNK2 in [512,2048,4096,8192,16384]:
        stream = p.open(format=FORMAT,
                        channels=CHANNELS,
                        rate=RATE,
                        input=True,
                        frames_per_buffer=CHUNK1)


        try:
            print CHUNK1,CHUNK2
            for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
                data = stream.read(CHUNK2)
        except:
            print "Boohoo"

        stream.stop_stream()
        stream.close()

<强>更新

好吧，我想我明白了。如果你在下次阅读前等待太久，pyaudio库将引发溢出错误。

byte_string = ''.join(data)
nums = array.array('h', byte_string)
for elt in nums[1::2]:
    left.put(elt)
for elt in nums[0::2]:
    right.put(elt)

这在这里进行了很多非常缓慢的处理。特别是python中的两个for循环。让处理过程得到一大块单流数据，它可以处理，而不是一次一个int。

import numpy as np

...

n=np.fromstring(data,np.uint16)
left.put(n[1::2])
right.put(n[0::2])

我甚至不想想for循环对延迟做了什么，但即使相对使用array和{{1}之间的性能相对较小值得注意的是：

np.array

python pyaudio使用多处理

1 个答案: