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A must-read for Golang developers: Quickly implement speech recognition function and Baidu AI interface docking

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2023-08-25 16:06:211692browse

A must-read for Golang developers: Quickly implement speech recognition function and Baidu AI interface docking

Golang developers must read: Quickly implement speech recognition function and Baidu AI interface docking

Introduction

In today's Internet era, artificial intelligence has has become a hot topic in the technology field. Speech recognition, as an important part of artificial intelligence technology, has been widely used. This article will introduce how to use the Golang programming language to quickly implement speech recognition functions, and will achieve more powerful speech recognition functions through docking with Baidu AI interface.

1. Preparation
Before starting to write the Golang speech recognition code, we need to make some preparations for the environment:

  1. Register a Baidu AI developer account and obtain the API Key and Secret Key.
  2. Install the Golang development environment.
  3. Download Baidu AI speech recognition SDK.

2. Implement the speech recognition function
First, we need to import the Baidu AI speech recognition SDK, which can be installed using the go get command:

go get github.com/baidu-aip/go-sdk/v2/speech

Next, we can write the code to implement the speech recognition function:

package main

import (
    "fmt"
    "io/ioutil"
    "os"

    "github.com/baidu-aip/go-sdk/v2/speech"
)

func main() {
    // 设置百度AI接口的API Key和Secret Key
    appID := "your_app_id"
    apiKey := "your_api_key"
    secretKey := "your_secret_key"

    // 创建语音识别客户端并初始化
    client, err := speech.NewClient(apiKey, secretKey)
    if err != nil {
        fmt.Println("Failed to create client:", err)
        return
    }

    // 读取待识别的语音文件
    file, err := os.Open("test.wav")
    if err != nil {
        fmt.Println("Failed to open file:", err)
        return
    }
    defer file.Close()
    data, err := ioutil.ReadAll(file)
    if err != nil {
        fmt.Println("Failed to read file:", err)
        return
    }

    // 调用百度AI接口进行语音识别
    result, err := client.Recognize(data, speech.FormatWav, 16000)
    if err != nil {
        fmt.Println("Failed to recognize speech:", err)
        return
    }

    // 输出识别结果
    fmt.Println(result)
}

Please replace your_app_id, your_api_key and your_secret_key in the above code For the actual API Key and Secret Key.

3. Connecting with Baidu AI interface
To connect with Baidu AI interface, we need to use the authentication method provided by Baidu AI speech recognition SDK. Before calling the Baidu AI interface, we need to authenticate first to ensure that we have permission to access the interface:

// 创建语音识别客户端并初始化
client, err := speech.NewClient(apiKey, secretKey)
if err != nil {
    fmt.Println("Failed to create client:", err)
    return
}

The method to call the Baidu AI interface is Recognize, where the first parameter is For the voice data to be recognized, the second parameter is the format of the voice data, and the third parameter is the sampling rate. For example, if our voice data is a wav file with a sampling rate of 16k, we can call the interface like this:

// 读取待识别的语音文件
file, err := os.Open("test.wav")
if err != nil {
    fmt.Println("Failed to open file:", err)
    return
}
defer file.Close()
data, err := ioutil.ReadAll(file)
if err != nil {
    fmt.Println("Failed to read file:", err)
    return
}

// 调用百度AI接口进行语音识别
result, err := client.Recognize(data, speech.FormatWav, 16000)
if err != nil {
    fmt.Println("Failed to recognize speech:", err)
    return
}

Finally, we can output the results of speech recognition:

// 输出识别结果
fmt.Println(result)

4. Summary
By connecting with Baidu AI interface, we can quickly implement speech recognition function. This article introduces how to use the Golang programming language to implement speech recognition functions, and provides code examples for docking with Baidu AI interface. Through these sample codes, I hope it can help Golang developers who are developing speech recognition functions. At the same time, we also encourage developers to pay attention to data security and privacy protection and comply with relevant laws and regulations when using the speech recognition function.

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