Golang and FFmpeg: How to implement audio mixing and extraction

Golang and FFmpeg: How to implement audio mixing and extraction

Overview:
In the field of audio processing, using FFmpeg is a common choice. For Golang developers, how to use FFmpeg for audio processing in Golang is a common question. This article will introduce how to use Golang to call the FFmpeg library to implement audio mixing and audio extraction functions, and provide specific code examples.

1. Prerequisites:
   Before starting, make sure that FFmpeg and related dependent libraries have been installed. At the same time, we will use the Go language FFmpeg binding library "go-ffmpeg" (https://github.com/GandalfUK/go-ffmpeg) to call FFmpeg library functions.
2. Audio Mixing:
   Audio mixing is the process of combining multiple audio streams into one output stream. In Golang, we can use FFmpeg's audio filter to achieve audio mixing.

Here is a sample code for mixing two audio files into one output file:

package main

import (
    "fmt"
    ffmpeg "github.com/GandalfUK/go-ffmpeg"
)

func main() {
    // 初始化FFmpeg库
    ffmpeg.InitFFmpeg()

    // 打开输入文件1
    input1, _ := ffmpeg.OpenInputFile("input1.wav")
    defer ffmeg.CloseInputFile(input1)

    // 打开输入文件2
    input2, _ := ffmpeg.OpenInputFile("input2.wav")
    defer ffmeg.CloseInputFile(input2)

    // 创建输出文件
    output, _ := ffmpeg.CreateOutputFile("output.wav")
    defer ffmeg.CloseOutputFile(output)

    // 为输入文件1创建音频流
    in1Stream, _ := ffmeg.CreateAudioStream(input1, 0)
    defer ffmeg.CloseStream(in1Stream)

    // 为输入文件2创建音频流
    in2Stream, _ := ffmeg.CreateAudioStream(input2, 0)
    defer ffmeg.CloseStream(in2Stream)

    // 创建音频滤镜图（filtergraph）
    filtergraph := fmt.Sprintf("[0:a][1:a]amerge=inputs=2[a]", in1Stream, in2Stream)

    // 使用音频滤镜，将输入文件1和输入文件2的音频流混合为一个输出音频流
    outStream, _ := ffmeg.CreateFilteredStream(input1, in1Stream, filtergraph)
    defer ffmeg.CloseStream(outStream)

    // 将输出音频流写入输出文件
    ffmeg.WriteStream(output, outStream)
}

In the above sample code, we first initialized the FFmpeg library. We then open the two input audio files and create corresponding audio streams. Next, we create an audio filter graph that uses the "amerge" filter to mix the two input audio streams into one output audio stream. Finally, we write the output audio stream to the output file.

3. Audio extraction:
   Audio extraction is to extract audio data of a certain time period from an audio file. In Golang, we can use FFmpeg's audio clipping function to achieve audio extraction.

The following is a sample code for extracting audio data of a specified time period from an audio file:

package main

import (
    "fmt"
    ffmpeg "github.com/GandalfUK/go-ffmpeg"
)

func main() {
    // 初始化FFmpeg库
    ffmpeg.InitFFmpeg()

    // 打开输入文件
    input, _ := ffmpeg.OpenInputFile("input.wav")
    defer ffmeg.CloseInputFile(input)

    // 创建输出文件
    output, _ := ffmpeg.CreateOutputFile("output.wav")
    defer ffmeg.CloseOutputFile(output)

    // 为输入文件创建音频流
    inStream, _ := ffmeg.CreateAudioStream(input, 0)
    defer ffmeg.CloseStream(inStream)

    // 设置音频裁剪参数
    start := "00:00:10" // 开始时间（以时:分:秒的格式表示）
    duration := "00:00:05" // 提取的音频时长（以时:分:秒的格式表示）
    clippingArgs := fmt.Sprintf("trim=%s,%s", start, duration)

    // 使用音频裁剪，提取指定时间段的音频数据
    outStream, _ := ffmeg.CreateClippedStream(input, inStream, clippingArgs)
    defer ffmeg.CloseStream(outStream)

    // 将输出音频流写入输出文件
    ffmeg.WriteStream(output, outStream)
}

In the above sample code, we first initialized the FFmpeg library . We then open the input audio file and create the corresponding audio stream. Next, we set the audio cropping parameters and specify the audio time period to be extracted. Finally, we use the audio cropping function to write the audio data of the specified time period of the input audio to the output file.

Summary:
This article introduces how to use the FFmpeg library to implement audio mixing and audio extraction functions in Golang. By calling FFmpeg's audio filter and audio cropping functions, we can achieve various audio processing needs in Golang. I hope this article will be helpful to developers who are learning or using Golang for audio processing.

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