How to use audio processing in Go?

With the popularity of audio processing in various application scenarios, more and more programmers are beginning to use Go to write audio processing programs. As a modern programming language, Go language has excellent concurrency and high efficiency characteristics. It is very convenient to use it for audio processing. This article will introduce how to use audio processing technology in Go, including reading, writing, processing and analyzing audio data.

1. Reading audio data

There are many ways to read audio data in Go. One of the more commonly used is to use third-party libraries for reading, such as go-sox and go-wave. The following takes the go-sox library as an example to introduce how to read audio data in Go.

First you need to install the go-sox library. You can install it using the following command:

go get github.com/krig/go-sox

Next, you can use the following code to read a wav file:

package main

import (
    "log"

    "github.com/krig/go-sox"
)

func main() {
    // Open the input file
    input, err := sox.OpenRead("input_file.wav")
    if err != nil {
        log.Fatalf("Failed to open input file: %v", err)
    }
    defer input.Release()

    // Read the input file into a buffer
    buffer, err := input.Read(nil)
    if err != nil {
        log.Fatalf("Failed to read input file: %v", err)
    }
}

In this example, the OpenRead function opens a wav file and use it as an input file. If an error occurs, the corresponding error message will be returned. ReadThe function reads audio file data, and the read data is returned in the form of a buffer.

2. Writing audio data

Similar to reading audio data, you can also use some third-party libraries to write audio data in Go. For example, the go-wave library can easily read and write wav files. The following takes the go-wave library as an example to introduce how to write audio data in Go.

First you need to install the go-wave library. It can be installed using the following command:

go get github.com/gerow/go-wave

Next, the audio data can be written to a wav file using the following code:

package main

import (
    "log"

    "github.com/gerow/go-wave"
)

func main() {
    // Create a wave file
    w, err := wave.Create("output_file.wav")
    if err != nil {
        log.Fatalf("Failed to create output file: %v", err)
    }
    defer w.Close()

    // Get the audio format
    format := wave.Format{
        Channels:      1,
        SampleRate:    44100,
        SignificantBits: 16,
        ByteRate:      88200,
        BlockAlign:    2,
    }

    // Set the audio format
    err = w.SetFormat(format)
    if err != nil {
        log.Fatalf("Failed to set format: %v", err)
    }

    // Write the audio data
    data := make([]byte, 1024)
    for i := range data {
        data[i] = 0xff
    }
    _, err = w.Write(data)
    if err != nil {
        log.Fatalf("Failed to write audio data: %v", err)
    }
}

In this example, we use Create The function creates a wav file and sets it as the output file. If there is an error, the corresponding error message will be returned. Use the SetFormat function to set the audio format. Use the Write function to write audio data.

3. Processing audio data

For the processing of audio data, Go language provides many libraries, such as go-portaudio and goaudio. Let's take the goaudio library as an example to introduce how to process audio data in Go.

First you need to install the goaudio library. You can install it using the following command:

go get github.com/cryptix/goaudio

Next, you can use the following code to process the audio data:

package main

import (
    "fmt"
    "math"

    "github.com/cryptix/goaudio/snd"
    "github.com/cryptix/goaudio/sndfile"
)

func main() {
    filename := "input_file.wav"

    // Open the file for reading
    sf, err := sndfile.Open(filename, sndfile.Read, nil)
    if err != nil {
        panic(err)
    }
    defer sf.Close()

    // Get the number of frames and channels
    frameCount := sf.Samples
    channelCount := sf.Channels

    // Create a buffer to hold the samples
    buffer := make([]float64, frameCount*channelCount)

    // Read the samples into the buffer
    if err := snd.ReadInto(sf, buffer); err != nil {
        panic(err)
    }

    // Apply a sine wave to the samples
    for i := 0; i < len(buffer); i += channelCount {
        sample := buffer[i]
        angle := float64(i) * 2.0 * math.Pi / float64(sf.SampleRate)
        buffer[i] = sample * math.Sin(angle)
    }

    // Create a new file for writing
    newFilename := "output_file.wav"
    newSf, err := sndfile.Open(newFilename, sndfile.Write, &sf.Info)
    if err != nil {
        panic(err)
    }
    defer newSf.Close()

    // Write the modified samples
    if err := snd.Write(newSf, buffer); err != nil {
        panic(err)
    }

    fmt.Printf("Done")
}

In this example, we open a wav file and read it into a buffer. Then a simple process was performed on the samples in the buffer: a sine wave was applied to the audio data. After that, we wrote the processed audio data into a new wav file.

4. Analyze audio data

There are many libraries for audio analysis in Go language, such as go-dsp and gonum. The following is an introduction using the go-dsp library.

First you need to install the go-dsp library. You can use the following command to install:

go get github.com/mjibson/go-dsp

Next, you can use the following code to obtain the audio recording data and analyze it:

package main

import (
    "fmt"
    "os"
    "time"

    "github.com/Twister915/go-dsp/wavio"
)

func main() {
    filename := "recording.wav"

    // Open the wave file
    f, err := os.Open(filename)
    if err != nil {
        panic(err)
    }
    defer f.Close()

    // Parse the wave file
    w, err := wavio.Read(f)
    if err != nil {
        panic(err)
    }

    // Print the sample rate, duration, and length of the data
    fmt.Printf("Sample rate: %d
Duration: %s
Data length: %d
", 
                w.Original.SampleRate, 
                time.Duration(float64(w.Len()) / float64(w.Original.ByteRate) * float64(time.Second)), 
                w.Len())

    // Analyze the data
    var sum float64
    var max float64
    for _, s := range w.Data {
        sum += float64(s)
        if float64(s) > max {
            max = float64(s)
        }
    }

    average := sum / float64(len(w.Data))

    fmt.Printf("Peak amplitude: %f
", max)
    fmt.Printf("Average amplitude: %f
", average)
}

In this example, we open A wav file and analyzed the sampled data. The maximum and average values ​​of the audio data were calculated respectively. This process can help us better understand the audio data we are processing so that we can formulate corresponding processing strategies.

Summary

This article mainly introduces how to use audio processing technology in Go, including reading, writing, processing and analyzing audio data. Audio processing is a vast field, and this article only covers some basic techniques. With this basic knowledge, readers can have an in-depth understanding of more complex audio processing technologies and develop and implement them in the Go language.

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