Python real-time voice change tutorial: implement custom audio processing effects with code

How to write a real-time voice changing program using Python

As people's demand for audio processing technology is getting higher and higher, the application of audio processing technology in various fields is also becoming more and more extensive. Among them, real-time voice changing technology is a more interesting audio processing technology. This article will introduce how to use Python to write a real-time voice changing program.

Real-time voice changing technology is a technology that processes audio signals in real time to produce different timbres and pitches. In real-time voice changing technology, there are mainly two aspects of changes, namely changes in pitch and timbre. Pitch changes are achieved by changing the frequency of the audio signal, while timbre changes are achieved by changing the harmonic structure of the audio signal.

In Python, we can use some libraries to realize real-time voice changing function, one of the more commonly used libraries is PyAudio. PyAudio is a Python library that provides functions and classes to implement audio input and output. We can use PyAudio to get audio input, then process the audio signal, and finally output the processed signal.

The following are the basic steps to realize the real-time voice changing function:

1. Import necessary libraries and modules

import pyaudio
import numpy as np
import time

2. Initialize the PyAudio object

p = pyaudio.PyAudio()

3. Set audio input stream and output stream

input_stream = p.open(format=pyaudio.paFloat32, channels=1, rate=44100, input=True, frames_per_buffer=1024)
output_stream = p.open(format=pyaudio.paFloat32, channels=1, rate=44100, output=True, frames_per_buffer=1024)

4. Define the voice changing function

def pitch_shift(signal, shift=0):
    # 变声实现代码
    return signal_shifted

5. Read audio signals and perform real-time sound changes

while True:
    # 读取音频信号
    data = input_stream.read(1024)

    # 转换为numpy数组
    signal = np.frombuffer(data, dtype=np.float32)

    # 实时变声
    signal_shifted = pitch_shift(signal, shift=2)

    # 将处理后的信号输出
    output_stream.write(signal_shifted.tobytes())

In this example, we define a pitch_shift function to realize the voice changing function. The specific voice-changing implementation code can be modified according to actual needs. After reading the audio signal, we call the pitch_shift function to change the sound in real time, and then output the processed signal to the audio output stream.

Of course, in practical applications, we may need more complex voice-changing algorithms, such as frequency-domain voice-changing algorithms based on Fourier transform, filter-based time-domain voice-changing algorithms, and so on. In addition, we can also use existing audio processing libraries, such as librosa and pydub, to achieve more complex and advanced sound changing effects, such as echo, reverb and other effects. These voice-changing effects can be realized by adding corresponding processing codes in the voice-changing function.

Summarize

This article describes how to write a real-time voice changing program using Python. We use the PyAudio library to obtain audio input and output, and realize the real-time voice changing function by implementing a voice changing function. In practical applications, we can use different voice-changing algorithms and effects to achieve richer and more advanced audio processing functions.

Full code:

import pyaudio
import numpy as np
import time

# 初始化PyAudio对象
p = pyaudio.PyAudio()

# 设置音频输入流和输出流
input_stream = p.open(format=pyaudio.paFloat32, channels=1, rate=44100, input=True, frames_per_buffer=1024)
output_stream = p.open(format=pyaudio.paFloat32, channels=1, rate=44100, output=True, frames_per_buffer=1024)

# 定义变声函数
def pitch_shift(signal, shift=0):
    # 变声实现代码
    return signal_shifted

# 实时变声
while True:
    # 读取音频信号
    data = input_stream.read(1024)

    # 转换为numpy数组
    signal = np.frombuffer(data, dtype=np.float32)

    # 实时变声
    signal_shifted = pitch_shift(signal, shift=2)

    # 将处理后的信号输出
    output_stream.write(signal_shifted.tobytes())

# 关闭流和PyAudio对象
input_stream.stop_stream()
output_stream.stop_stream()
input_stream.close()
output_stream.close()
p.terminate()