


Baidu AI interface and Golang: seamless combination to build an intelligent speech synthesis system
Baidu AI interface and Golang: seamless combination to build an intelligent speech synthesis system
Introduction:
With the rapid development of artificial intelligence technology, speech synthesis system Gradually becoming an important part of intelligent applications. Baidu AI open platform provides a powerful speech synthesis interface, and Golang, as an efficient, concise and easily scalable programming language, is an ideal choice for building a speech synthesis system. This article will introduce how to use Baidu AI interface to seamlessly integrate with Golang to build a simple but powerful intelligent speech synthesis system.
- Overview of Baidu AI speech synthesis interface
Baidu AI open platform provides a speech synthesis interface that can convert text into natural and smooth speech. The interface is based on deep learning technology and has high accuracy and naturalness. Users only need to send an HTTP request to the interface to obtain the corresponding voice file. Before using this interface, you need to register an account on the Baidu AI open platform, create an application, and obtain the API Key and Secret Key. - Golang programming environment preparation
Before you start writing code in Golang, you need to make sure that the Golang programming environment has been installed. Golang can be downloaded and installed through the official website (https://golang.org/). After the installation is complete, you can use command line tools (such as Terminal or CMD) to verify whether Golang is successfully installed:
$ go version
If the corresponding version number is output, the Golang environment is ready.
- Baidu AI speech synthesis module development
In order to better manage the code, we can encapsulate the operations related to Baidu AI speech synthesis into an independent module. The following is a simple example:
package baiduai import ( "crypto/md5" "encoding/base64" "fmt" "io" "io/ioutil" "net/http" "net/url" "strings" "time" ) type BaiduAIAPI struct { APIKey string SecretKey string } func (b *BaiduAIAPI) TextToSpeech(text, filePath string) error { baseURL := "http://tsn.baidu.com/text2audio" client := http.Client{Timeout: 5 * time.Second} data := url.Values{} data.Set("tex", text) data.Set("lan", "zh") data.Set("cuid", "baidu_ai_example") data.Set("ctp", "1") data.Set("tok", b.getToken()) req, err := http.NewRequest(http.MethodPost, baseURL, strings.NewReader(data.Encode())) if err != nil { return err } req.Header.Set("Content-Type", "application/x-www-form-urlencoded") resp, err := client.Do(req) if err != nil { return err } defer resp.Body.Close() file, err := os.Create(filePath) if err != nil { return err } defer file.Close() _, err = io.Copy(file, resp.Body) if err != nil { return err } return nil } func (b *BaiduAIAPI) getToken() string { salt := time.Now().Format("20060102150405") sign := fmt.Sprintf("%s%s%s%s", b.APIKey, b.text, salt, b.SecretKey) sign = fmt.Sprintf("%x", md5.Sum([]byte(sign))) return base64.StdEncoding.EncodeToString([]byte(fmt.Sprintf("%s:%s", b.APIKey, sign))) }
The above example encapsulates Baidu AI speech synthesis-related operations in a structure named BaiduAIAPI
. Among them, the TextToSpeech
method is used to convert text into a speech file and save it to the specified path. getToken
The method is used to generate the Token required for interface access.
- Usage Example
In the main program, we can call the method provided by theBaiduAIAPI
module to use the Baidu AI speech synthesis interface. The following is a simple example:
package main import ( "fmt" "github.com/your_username/your_package/baiduai" ) func main() { api := baiduai.BaiduAIAPI{ APIKey: "your_api_key", SecretKey: "your_secret_key", } text := "百度AI接口与Golang无缝结合,构建智能语音合成系统" filePath := "./output.mp3" err := api.TextToSpeech(text, filePath) if err != nil { fmt.Printf("Error: %s ", err.Error()) return } fmt.Println("语音合成成功") }
In this example, we first use the BaiduAIAPI
structure by importing the baiduai
module. Then, create a BaiduAIAPI
instance and set the API Key and Secret Key. Next, we call the TextToSpeech
method to convert the text into a speech file and save it to the output.mp3
file in the current directory. Finally, a prompt indicating successful speech synthesis is output.
Conclusion:
This article introduces how to use Baidu AI interface to seamlessly combine with Golang to build a simple but powerful intelligent speech synthesis system. By encapsulating the Baidu AI speech synthesis operation as an independent module and using the main program written in Golang, we can easily achieve text-to-speech conversion. I hope this article has provided some help and inspiration for everyone in building an intelligent speech synthesis system.
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