Python calls Alibaba Cloud interface to implement audio recognition function

Python calls the Alibaba Cloud interface to implement the audio recognition function

In recent years, the rapid development of artificial intelligence has benefited many fields. Among them, the application of speech recognition technology has become a hot topic. Alibaba Cloud is a leading cloud computing manufacturer in China and provides a rich set of artificial intelligence interfaces, including audio recognition functions. This article will introduce how to use Python to call the Alibaba Cloud interface to implement the audio recognition function.

Before starting, we first need to apply for the corresponding API key on the Alibaba Cloud console. In the Alibaba Cloud console, select "Artificial Intelligence" - "Speech Recognition", create a new application and obtain the Access Key ID and Access Key Secret.

Next, we need to install the Python SDK. Open a command line terminal and enter the following command:

pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-asr

After the installation is complete, we can start writing code.

First, we need to import the required libraries and modules:

import time
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.request import CommonRequest

Then, create an Alibaba Cloud client object and use the Access Key we applied for in the Alibaba Cloud console for identity Verification:

client = AcsClient('<your_access_key_id>', '<your_access_key_secret>', 'cn-hangzhou')

Next, we can write a function to upload the audio file and return the file path after the upload is successful. Here we assume that the audio file has been saved on the local disk, and its path is file_path:

def upload_audio(file_path):
    request = CommonRequest()
    request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
    request.set_uri_pattern('/pop/2019-02-28/2019-06-30/instances')
    request.set_method('POST')
    request.add_header('Content-type', 'multipart/form-data')

    # 创建上传参数
    body_params = {
        'Type': 'MultipartFormData',
        'file': open(file_path, 'rb')
    }
    request.set_content(body_params)

    # 发送上传请求
    response = client.do_action(request)

    # 解析返回结果，获取上传成功后的文件路径
    file_id = response.decode('utf-8').split('"FileId":"')[1].split('","InstanceId"')[0]

    return file_id

Next, we can write a function to implement the audio recognition function. This function will use Alibaba Cloud's audio recognition interface to identify successfully uploaded audio files. The recognition result will be returned as a return value:

def recognize_audio(file_id):
    request = CommonRequest()
    request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
    request.set_uri_pattern('/pop/2019-02-28/2019-06-30/instances/%s' % file_id)
    request.set_method('GET')

    # 发送识别请求
    response = client.do_action(request)

    # 解析返回结果，获取识别结果
    result = response.decode('utf-8').split('"Result":"')[1].split('","CreateTime"')[0]

    return result

Finally, we can write a main function to call the audio upload and recognition function, and print out the recognition result:

def main():
    # 音频文件路径
    file_path = '<your_audio_file_path>'
    
    # 上传音频文件
    file_id = upload_audio(file_path)
    print('音频文件上传成功，文件ID：%s' % file_id)

    # 等待音频上传完成
    time.sleep(10)

    # 开始音频识别
    result = recognize_audio(file_id)
    print('音频文件识别结果：%s' % result)

if __name__ == '__main__':
    main()

At this point, we are done Use Python to call the Alibaba Cloud interface to write code to implement the audio recognition function.

Using Alibaba Cloud's audio recognition function, we can convert audio files into text to provide basic support for speech recognition-related applications. This technology has broad application prospects in voice assistants, voice translation, real-time subtitles and other fields.

Note: Due to the involvement of network requests and file uploads, the code may take a long time to run, please be patient.

Reference materials:

• Alibaba Cloud official documentation: https://help.aliyun.com/document_detail/139598.html

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