Sharing of practical experience in connecting Python and Baidu Intelligent Speech Interface
Overview
Baidu Intelligent Speech Interface is a powerful speech recognition and speech synthesis tool for Developers provide real-time speech-to-text and text-to-speech functions. This article will start from a practical point of view, introduce how to connect Baidu intelligent voice interface in Python, and show some code examples of common functions.
Install dependent libraries
Use the following command to install Python dependent libraries:
pip install baidu-aip
This library is the Python SDK officially provided by Baidu and is used to communicate with Baidu intelligent voice interface communication.
Text to Speech
The following is a simple code example that demonstrates how to use Baidu Intelligent Voice Interface to convert a piece of text into speech:
from aip import AipSpeech APP_ID = 'your_app_id' API_KEY = 'your_api_key' SECRET_KEY = 'your_secret_key' client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) text = "Hello, this is a test." result = client.synthesis(text, 'zh', 1, { 'vol': 5, 'per': 4, }) if not isinstance(result, dict): with open('audio.mp3', 'wb') as f: f.write(result)
In the code , we first introduce the AipSpeech module and initialize the client. Then, define a literal text and call the client.synthesis
method to convert it to speech. Finally, the sound data is written to a file.
Voice to Text
The following is a simple code example that demonstrates how to use Baidu Intelligent Voice Interface to convert a piece of speech into text:
from aip import AipSpeech APP_ID = 'your_app_id' API_KEY = 'your_api_key' SECRET_KEY = 'your_secret_key' client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) with open('audio.wav', 'rb') as f: audio_data = f.read() result = client.asr(audio_data, 'wav', 16000, { 'dev_pid': 1536, }) if 'result' in result: result_text = result['result'][0] print(result_text)
In the code , we first introduce the AipSpeech module and initialize the client. Then, read an audio file and pass it as a parameter to the client.asr
method for speech conversion. Finally, get the converted text from the API's return result.
Summary
This article introduces the practical experience of using Python to connect with Baidu intelligent voice interface, and gives code examples of text-to-speech and speech-to-text. In practical applications, we can make more flexible expansion and adjustments according to specific needs. I hope this article can be helpful to developers using Baidu intelligent voice interface.
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