PyAudio 回调函数只调用一次

如何解决PyAudio 回调函数只调用一次

我正在尝试使用 PyAudio 使用此处提供的非阻塞 IO 代码简单地复制 wav 文件:PyAudio documentation

与文档不同,我尝试使用 numpy 输入数据而不是字节,因此我使用 librosa 加载我的 .wav 文件而不是文档中所示的 wave

我的代码如下,它是自包含的且可重现的,您只需将 filename 更改为您想要重现的波形音频之一:

import pyaudio
import wave
import time
import numpy as np
import scipy.io.wavfile as sw
import librosa
import sys
from scipy.io.wavfile import write


############ Global variables ###################
filename = '../wav/The_Weeknd.wav' #Test file
#Conversion from np to pyAudio types
np_to_pa_format = {
    np.dtype('float32') : pyaudio.paFloat32,np.dtype('int32') : pyaudio.paInt32,np.dtype('int16') : pyaudio.paInt16,np.dtype('int8') : pyaudio.paInt8,np.dtype('uint8') : pyaudio.paUInt8
}
np_type_to_sample_width = {
    np.dtype('float32') : 4,np.dtype('int32') : 4,np.dtype('int16') : 3,np.dtype('int8') : 1,np.dtype('uint8') : 1
}
STEREO = 2 #channels
#################################################

# Simple class which reads an input test wav file and reproduce it in a real time fashion. Used to test real time functioning.
class Player:
    # Loading the input test file. Crop to 30 seconds length
    def __init__(self):
        self.input_array,self.sample_rate = librosa.load(filename,sr=44100,dtype=np.float32,offset = 30,duration=30)

        print(self.sample_rate)
        print(self.input_array.shape)
        self.cycle_count = 0


    def pyaudio_callback(self,in_data,frame_count,time_info,status):
        audio_size = np.shape(self.input_array)[0]
        #print(audio_size)
        print(frame_count)
        if frame_count*self.cycle_count > audio_size:
            # Processing is complete.
            print('processing complete')
            return (None,pyaudio.paComplete)
        elif frame_count*(self.cycle_count+1) > audio_size:
            # Last frame to process.
            print('1 left frame')
            frames_left = audio_size - frame_count*self.cycle_count
        else:
            # Every other frame.
            print('everyotherframe')
            frames_left = frame_count

        data = self.input_array[frame_count*self.cycle_count:frame_count*self.cycle_count+frames_left]
        write('test.wav',44100,data) #Saves correctly the file!

        print(data.shape)
        out_data = data.tobytes()
        print('printing length: ',len(out_data))
        self.cycle_count+=1
        print(self.cycle_count)
        print(pyaudio.paContinue)
        return (out_data,pyaudio.paContinue)





    def start_non_blocking_processing(self,save_output=True,frame_count=2**20,listen_output=True):
        '''
        Non blocking mode works on a different thread,therefore,the main thread must be kept active with,for example:
            while processing():
                time.sleep(1)
        '''
        self.save_output = save_output
        self.frame_count = frame_count

        # Initiate PyAudio
        self.pa = pyaudio.PyAudio()
        # Open stream using callback
        self.stream = self.pa.open(format=np_to_pa_format[self.input_array.dtype],channels=STEREO,rate=self.sample_rate,output=listen_output,input=not listen_output,stream_callback=self.pyaudio_callback,frames_per_buffer=frame_count)

        # Start the stream
        self.stream.start_stream()


    def processing(self):
        '''
        Returns true if the PyAudio stream is still active in non blocking mode.
        MUST be called AFTER self.start_non_blocking_processing.
        '''
        return self.stream.is_active()

    def terminate_processing(self):
        '''
        Terminates stream opened by self.start_non_blocking_processing.
        MUST be called AFTER self.processing returns False.
        '''
        # Stop stream.
        self.stream.stop_stream()
        self.stream.close()

        # Close PyAudio.
        self.pa.terminate()

        # Resets count.
        self.cycle_count = 0
        # Resets output.
        self.output_array = np.array([[],[]],dtype=self.input_array.dtype).T



if __name__ == "__main__":
    print('RUNNING MAIN')
    player = Player()
    player.start_non_blocking_processing()
    while(player.processing()):
        time.sleep(0.1)
    player.terminate_processing()

基本上我遵循了文档教程,但我以更面向对象的方式重新编写了代码(因为我将需要它用于更大的项目)。

我能够重现音频,但我注意到:

  1. 它的音调比应有的高
  2. 它仅再现单个帧,变量 pyaudio.paContinue 始终为 0,因此我的代码仅执行音频的单个“窗口”。

我一直在寻找解决方案,但只有类似问题的答案(此处:callback called only once)而且我一直无法解决我的问题。

问题回顾:我的回调函数只被调用一次(因为 pyaudio.paContinue 总是 0),我不知道如何解决这个问题。

注意:代码的灵感来自https://github.com/grupo-1-ASSD-E2/ASSD-TP4

EDIT:我添加了一个测试写入来检查包含音频的 numpy 数组(代码中的 data 变量)是否正确,并且确实如此。 write 函数会正确生成具有预期音频的 .wav 文件。

EDIT 2pyaudio.paContinue 的值为 0 似乎很正常,这是“保持处理”的预期行为,如此处所述:pyAudio Documentation。所以我真的不知道为什么我的音频在回调函数的 1 次迭代后停止

解决方法

我解决了这个问题。我在使用 MONO 文件时将 channels 函数内的 pa.open 声明为 STEREO。 librosa.read 自动将输入的 wav 转换为单声道,即使它们是立体声文件。所以基本上我的 stream 对象需要 2 个通道(交错)但它只得到 1 个。

完整的工作代码如下:

#https://realpython.com/playing-and-recording-sound-python/#pyaudio
import pyaudio
import wave
import time
import numpy as np
import scipy.io.wavfile as sw
import librosa
import sys
from scipy.io.wavfile import write


############ Global variables ###################
filename = '../wav/The_Weeknd.wav' #Test file
chunk = 512 #frame size
#Conversion from np to pyAudio types
np_to_pa_format = {
    np.dtype('float32') : pyaudio.paFloat32,np.dtype('int32') : pyaudio.paInt32,np.dtype('int16') : pyaudio.paInt16,np.dtype('int8') : pyaudio.paInt8,np.dtype('uint8') : pyaudio.paUInt8
}
np_type_to_sample_width = {
    np.dtype('float32') : 4,np.dtype('int32') : 4,np.dtype('int16') : 3,np.dtype('int8') : 1,np.dtype('uint8') : 1
}
STEREO = 2 #channels
#################################################

# Simple class which reads an input test wav file and reproduce it in a real time fashion. Used to test real time functioning.
class Player:
    # Loading the input test file. Crop to 30 seconds length
    def __init__(self):
        self.input_array,self.sample_rate = librosa.load(filename,sr=44100,dtype=np.float32,duration=60)

        #print(self.sample_rate)
        #print(self.input_array.shape)
        self.cycle_count = 0


    def pyaudio_callback(self,in_data,frame_count,time_info,status):
        audio_size = np.shape(self.input_array)[0]
        #print(audio_size)
        print('frame count: ',frame_count)

        if frame_count*self.cycle_count > audio_size:
            # Processing is complete.
            print('processing complete')
            return (None,pyaudio.paComplete)
        elif frame_count*(self.cycle_count+1) > audio_size:
            # Last frame to process.
            print('1 left frame')
            frames_left = audio_size - frame_count*self.cycle_count
        else:
            # Every other frame.
            print('everyotherframe')
            frames_left = frame_count

        data = self.input_array[frame_count*self.cycle_count:frame_count*self.cycle_count+frames_left]
        print('len of data',data.shape)

        #write('test.wav',44100,data) #Saves correctly the file!
        out_data = data.astype(np.float32).tobytes()
        print('printing length: ',len(out_data))
        #print(out_data)
        self.cycle_count+=1
        print(self.cycle_count)
        print('pyaudio continue value: ',pyaudio.paContinue)
        return (out_data,pyaudio.paContinue)





    def start_non_blocking_processing(self,save_output=True,frame_count=2**10,listen_output=True):
        '''
        Non blocking mode works on a different thread,therefore,the main thread must be kept active with,for example:
            while processing():
                time.sleep(1)
        '''
        self.save_output = save_output
        self.frame_count = frame_count

        # Initiate PyAudio
        self.pa = pyaudio.PyAudio()
        # Open stream using callback
        self.stream = self.pa.open(format=np_to_pa_format[self.input_array.dtype],channels=1,rate=self.sample_rate,output=listen_output,input=not listen_output,stream_callback=self.pyaudio_callback,frames_per_buffer=frame_count)

        # Start the stream
        self.stream.start_stream()


    def processing(self):
        '''
        Returns true if the PyAudio stream is still active in non blocking mode.
        MUST be called AFTER self.start_non_blocking_processing.
        '''
        return self.stream.is_active()

    def terminate_processing(self):
        '''
        Terminates stream opened by self.start_non_blocking_processing.
        MUST be called AFTER self.processing returns False.
        '''
        # Stop stream.
        self.stream.stop_stream()
        self.stream.close()

        # Close PyAudio.
        self.pa.terminate()

        # Resets count.
        self.cycle_count = 0
        # Resets output.
        self.output_array = np.array([[],[]],dtype=self.input_array.dtype).T



if __name__ == "__main__":
    print('RUNNING MAIN')
    player = Player()
    player.start_non_blocking_processing()
    while(player.processing()):
        time.sleep(0.1)
    player.terminate_processing()

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


依赖报错 idea导入项目后依赖报错,解决方案:https://blog.csdn.net/weixin_42420249/article/details/81191861 依赖版本报错:更换其他版本 无法下载依赖可参考:https://blog.csdn.net/weixin_42628809/a
错误1:代码生成器依赖和mybatis依赖冲突 启动项目时报错如下 2021-12-03 13:33:33.927 ERROR 7228 [ main] o.s.b.d.LoggingFailureAnalysisReporter : *************************** APPL
错误1:gradle项目控制台输出为乱码 # 解决方案:https://blog.csdn.net/weixin_43501566/article/details/112482302 # 在gradle-wrapper.properties 添加以下内容 org.gradle.jvmargs=-Df
错误还原:在查询的过程中,传入的workType为0时,该条件不起作用 <select id="xxx"> SELECT di.id, di.name, di.work_type, di.updated... <where> <if test=&qu
报错如下,gcc版本太低 ^ server.c:5346:31: 错误:‘struct redisServer’没有名为‘server_cpulist’的成员 redisSetCpuAffinity(server.server_cpulist); ^ server.c: 在函数‘hasActiveC
解决方案1 1、改项目中.idea/workspace.xml配置文件,增加dynamic.classpath参数 2、搜索PropertiesComponent,添加如下 <property name="dynamic.classpath" value="tru
删除根组件app.vue中的默认代码后报错:Module Error (from ./node_modules/eslint-loader/index.js): 解决方案:关闭ESlint代码检测,在项目根目录创建vue.config.js,在文件中添加 module.exports = { lin
查看spark默认的python版本 [root@master day27]# pyspark /home/software/spark-2.3.4-bin-hadoop2.7/conf/spark-env.sh: line 2: /usr/local/hadoop/bin/hadoop: No s
使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-