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Golang and Baidu AI interface: Create a disruptive intelligent speech recognition system
Introduction:
With the rapid development of artificial intelligence technology, speech recognition systems have It has gradually become one of the core technologies in many application fields. Baidu AI platform provides a wealth of artificial intelligence APIs, among which the speech recognition API has excellent performance and flexible scalability. This article will take Golang as an example to introduce how to use Baidu AI interface to build a disruptive intelligent speech recognition system.
github.com/chenqinghe/baidu-ai-go-sdk/speechrecognition
. package main import ( "fmt" "io/ioutil" "os" "github.com/chenqinghe/baidu-ai-go-sdk/speechrecognition" ) func main() { // 读取待识别的语音文件 filePath := "test.wav" fileData, err := ioutil.ReadFile(filePath) if err != nil { fmt.Println("读取文件失败:", err) return } // 创建语音识别客户端 client := speechrecognition.NewClient("your_api_key", "your_secret_key") // 设置请求参数 options := map[string]interface{}{ "dev_pid": 1536, // 普通话(支持简单的英文识别) "format": "wav", "rate": 16000, "channel": 1, "cuid": "your_unique_id", "token": client.GetAccessToken(), "len": len(fileData), "speech": fileData, } // 调用百度AI接口进行语音识别 result, err := client.Recognize(options) if err != nil { fmt.Println("语音识别失败:", err) return } // 解析识别结果 fmt.Println("识别结果:", result["result"]) }
In the above code, we pass ioutil.ReadFile The
function reads the speech file to be recognized, creates a speechrecognition.NewClient
object, and passes in the API Key and Secret Key. Next, we set the request parameters, including the format, sampling rate, channel and other information of the speech to be recognized, and passed in the content of the speech file as fileData
. Finally, we call the Recognize
method of Baidu AI interface and print out the recognition results.
Before running the code, we need to change the your_api_key
, your_secret_key
and your_unique_id
is replaced with our corresponding value on the Baidu AI platform. Then, we only need to execute the go run main.go
command in the terminal to run our speech recognition system.
Of course, in practical applications, we can further optimize the code, such as adding semantic understanding functions to the recognition results, supporting recognition of multiple languages and dialects, providing real-time streaming recognition, etc.
Summary:
This article introduces how to use Golang and Baidu AI interface to build an intelligent speech recognition system. By calling Baidu AI speech recognition API, we can easily recognize audio files and apply them to various application scenarios. I hope this article can provide readers with a basic understanding and practical guidance about Golang and Baidu AI speech recognition.
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