Python realizes the docking of Baidu intelligent voice interface and easily builds intelligent audio applications

Python realizes the docking of Baidu intelligent voice interface and easily builds intelligent audio applications

With the rapid development of artificial intelligence, intelligent voice technology is becoming more and more popular One of the core features of the application. Baidu Intelligent Speech Interface provides a simple and powerful way to integrate speech synthesis, speech recognition and other functions into Python applications. In this article, we will introduce how to implement Baidu intelligent voice interface docking through Python, and build a simple intelligent audio application based on this.

First, we need to create an application on Baidu Developer Platform to obtain the required API key. Log in to the Baidu Smart Cloud Console, enter the speech technology-speech synthesis module, click the "Activate Now" button and follow the operating instructions to create an application. After completing the creation, you will get an API Key and a Secret Key, which will be our credentials for using Baidu Intelligent Voice Interface in Python.

Next, we need to install Baidu Open Cloud SDK, install it in the terminal through the following command:

pip install baidu-aip

After completing the installation, we can start writing code. First, import the necessary libraries and set our API Key and Secret Key:

from aip import AipSpeech

# 设置API密钥
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

# 创建百度智能语音接口对象
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)

Here, we create an instance of Baidu Intelligent Voice Interface using the AipSpeech class. Next, we can use this instance to invoke various speech functions.

First, let’s try the speech synthesis function. The following is an example of converting a piece of text into a speech file and saving it locally:

# 设置语音合成参数
options = {
    'spd': 5,  # 语速，取值范围：0-9，默认为5中语速
    'pit': 5,  # 语调，取值范围：0-9，默认为5中语调
    'vol': 15,  # 音量，取值范围：0-15，默认为5中音量
    'per': 1,  # 发音人选择，取值范围：0-1，默认为0，即普通女声
}

# 合成文本
text = '欢迎使用百度智能语音接口'

# 调用语音合成接口
result = client.synthesis(text, 'zh', 1, options)

# 保存语音文件
if not isinstance(result, dict):
    with open('output.mp3', 'wb') as f:
        f.write(result)
        print('语音合成成功，已保存到output.mp3')

In this example, we pass in a piece of text and some synthesis parameters, and then call client.synthesis() function performs speech synthesis. If the synthesis is successful, we will get a binary audio data, which we can save as a .mp3 file.

Next, let’s try the voice recognition function. Here is an example of identifying text content from an audio file:

# 读取音频文件
with open('audio.wav', 'rb') as f:
    audio_data = f.read()

# 调用语音识别接口
result = client.asr(audio_data, 'wav', 16000)

# 解析识别结果
if 'result' in result:
    print('识别结果：', result['result'][0])
else:
    print('识别失败')

In this example, we first read an audio file and convert it into binary data. Then, call the client.asr() function for speech recognition. If the recognition is successful, we will get a dictionary containing the recognition results, from which we can extract the recognized text content.

So far, we have successfully connected to Baidu’s intelligent voice interface and completed the functions of speech synthesis and speech recognition. By combining these features, we can build a variety of smart audio applications, such as voice assistants, smart music players, and more. I hope this article can help you easily build smart audio applications using Python!

The above is an introduction and sample code for implementing the docking of Baidu intelligent voice interface in Python. I hope this article will help you understand and use Baidu intelligent voice interface. Happy programming!

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