UDP声音传输:播放的声音有很大的噪音 [英] UDP sound transfer : played sound have big noise

问题描述

我不知道如何解决这个问题.请帮帮我:)

I have no idea how to solve this problem. Please help me :)

我想将一台 PC 录制的声音数据发送到另一台 PC 并播放.(通过 UDP)

I would like to send sound data, recorded by one PC, to the other PC and play it. (by UDP)

程序可能正常运行，但声音包含(?)不舒服的噪音.当我试图记录 &在一个程序序列中播放声音，它工作正常.没有噪音.如果即使在一台 PC 上使用 UDP，使用 IP 127.0.0.1，就会出现噪音.起初，我认为这是因为播放的声音在另一台 PC 中出现了，我通过制作缓冲区来修复它.它解决了一点噪音，但几乎所有的噪音仍然存在.

The program might work correctly, but the sound contain(?) uncomfortable noise. when I tried to record & play sound in one program sequence, it worked correctly. There was no noise. In case of using UDP even in one PC, use IP 127.0.0.1, the noise appeared. At first, I thought the factor is because played sound is out in the other PC and I fixed it by making buffer. It solved little noise, but almost all the noise is still remaining.

就是下面的代码

客户

import pyaudio
import socket
from threading import Thread

frames = []

def udpStream():
    udp = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)    

    while True:
        if len(frames) > 0:
            udp.sendto(frames.pop(0), ("127.0.0.1", 12345))

    udp.close()

def record(stream, CHUNK):    
    while True:
        frames.append(stream.read(CHUNK))

if __name__ == "__main__":
    CHUNK = 1024
    FORMAT = pyaudio.paInt16
    CHANNELS = 2
    RATE = 44100

    p = pyaudio.PyAudio()

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

    Tr = Thread(target = record, args = (stream, CHUNK,))
    Ts = Thread(target = udpStream)
    Tr.setDaemon(True)
    Ts.setDaemon(True)
    Tr.start()
    Ts.start()
    Tr.join()
    Ts.join()

服务器

import pyaudio
import socket
from threading import Thread

frames = []

def udpStream(CHUNK):

    udp = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    udp.bind(("127.0.0.1", 12345))

    while True:
        soundData, addr = udp.recvfrom(CHUNK)
        frames.append(soundData)

    udp.close()

def play(stream, CHUNK):
    BUFFER = 10
    while True:
            if len(frames) == BUFFER:
                while True:
                    stream.write(frames.pop(0), CHUNK)

if __name__ == "__main__":
    FORMAT = pyaudio.paInt16
    CHUNK = 1024
    CHANNELS = 2
    RATE = 44100

    p = pyaudio.PyAudio()

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

    Ts = Thread(target = udpStream, args=(CHUNK,))
    Tp = Thread(target = play, args=(stream, CHUNK,))
    Ts.setDaemon(True)
    Tp.setDaemon(True)
    Ts.start()
    Tp.start()
    Ts.join()
    Tp.join()

抱歉，源代码太长了.随意玩这个程序.

sorry for long source code. Feel free to play this program.

推荐答案

我已经搜索了这个噪音的原因.终于我知道为什么会这样了.

I have searched for the reason of this noise. Finally I could detect why this happened.

其实这个程序的UDP传输并没有造成丢包.

Actually, This program UDP transfer did not cause packet loss.

即使有，声音也没有那么大的噪音.

Even if it did, the sound do not have such a serious noise.

本程序正确发送数据，几乎没有丢包，但receive"方法无法正确接收数据.

This program sent data correctly, and there are almost no packet loss, but the "receive" method could not receive data correctly.

在服务器程序中

In server program

def udpStream(CHUNK):

    udp = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    udp.bind(("127.0.0.1", 12345))

    while True:
        soundData, addr = udp.recvfrom(CHUNK)
        frames.append(soundData)

    udp.close()

这个程序只能提供25%"的数据.(我检查了数据量)

This program could data only "25%". (I checked the amount of data)

所以，我尝试接收数据乘法(CHANNELS * 2)

So, I tried to receive the data multiply (CHANNELS * 2)

        soundData, addr = udp.recvfrom(CHUNK * CHANNELS * 2)

这导致声音数据可以100%完全接收.

This results in the sound data can be received 100% completely.

最后，一台电脑录制的声音在另一台电脑上播放，没有噪音.

Finally, the sound recorded by one PC is played in the other PC without noise.

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