Use Python to connect to Baidu speech recognition interface so that your program can understand human speech

Use Python to connect to Baidu speech recognition interface so that your program can understand human speech

The rapid development of artificial intelligence technology has made our lives more convenient and Intelligence, speech recognition technology is one of the important technologies. Through speech recognition technology, we can convert human speech into text form, which is convenient for computers to process and understand. The Baidu speech recognition interface is an important tool to achieve this function.

This article will introduce how to use Python to connect to Baidu speech recognition interface so that your program can understand human speech. We will use Baidu's open platform and related tools to implement this function. The specific steps are as follows.

Step One: Apply for a Baidu Open Platform Account

First, we need to register a Baidu Open Platform account for subsequent interface calls. Open the official website of Baidu AI Open Platform (https://ai.baidu.com/), click the "Register Now" button on the upper right, fill in the registration information and complete the registration.

After registration is completed, log in to the Baidu AI open platform and enter the console page. On the console page, we can see the "Voice Technology" option, click to enter the voice technology page.

Step 2: Create a speech recognition application

On the speech technology page, we can see the "Speech Recognition" option, click to enter the speech recognition page. A new application can be created under the "Console" tab at the top of the page.

Click "Create Application", fill in the application name, description and other relevant information, and then click the "Create" button to complete the creation of the speech recognition application.

After the creation is completed, find the just created application in the application list, and record the "App ID", "API Key" and "Secret Key" and other information, which will be used in subsequent code .

Step 3: Install the necessary dependent libraries

Next, we need to install some necessary Python libraries so that we can call Baidu's speech recognition interface. Enter the following command on the command line to install the required libraries:

pip install baidu-aip

After the installation is complete, we proceed to the next step.

Step 4: Write Python code

Next, we can write Python code to call the Baidu speech recognition interface. First, we need to import the relevant libraries and modules, the code is as follows:

from aip import AipSpeech
import os

Then, we need to use the "App ID", "API Key" and "Secret Key" previously obtained on the Baidu Open Platform for authentication , the code is as follows:

APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)

Next, we can write a function to call the Baidu speech recognition interface, the code is as follows:

def speech_to_text(filepath):
    with open(filepath, 'rb') as fp:
        audio_data = fp.read()

    result = client.asr(audio_data, 'wav', 16000, {'dev_pid': 1537})
    if 'result' in result.keys():
        result_text = result['result'][0]
        print(result_text)
        return result_text
    else:
        print('识别失败')
        return None

In this code, we use client. The asr() function calls Baidu speech recognition interface, where the audio_data parameter is audio data, the 'wav' parameter indicates that the audio format is .wav, 16000The parameter indicates that the audio sampling rate is 16000Hz, {'dev_pid': 1537}The parameters can be set to different values ​​as needed. For details, please refer to the documentation of Baidu speech recognition interface.

Step 5: Call Baidu Speech Recognition Interface

Finally, we can write some code to test the function we wrote before. We can first save an audio file locally, and then call the speech_to_text() function to perform speech recognition. The code is as follows:

if __name__ == '__main__':
    filepath = 'test.wav'  # 音频文件的路径
    result_text = speech_to_text(filepath)

In this code, we will test .wav as the path to the audio file, you can replace it with the path to your own audio file.

So far, we have completed the operation of using Python to connect to the Baidu speech recognition interface. Through this example, we can see that with the help of Baidu speech recognition interface, we can easily convert audio files into text form, so that the program can understand human speech.

Summary

This article introduces the steps of using Python to connect to Baidu speech recognition interface, and provides corresponding code examples. By connecting to Baidu's speech recognition interface, our program can realize the speech-to-text function, thereby achieving a more intelligent interactive experience. I hope this article will be helpful to you in using Baidu speech recognition interface!

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