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Python realizes the docking of Baidu intelligent voice interface and easily builds intelligent audio applications
Abstract:
Baidu intelligent voice interface provides developers with powerful audio processing function, which can be used to build various smart audio applications. This article will introduce how to use Python to connect Baidu intelligent voice interface, and provide code examples to help readers get started quickly.
1. Overview
Baidu Intelligent Voice Interface is an important component of Baidu Cloud artificial intelligence platform, providing speech recognition, speech synthesis and other functions. We can use Python to achieve docking by calling Baidu Cloud's API.
2. Preparation
To use Baidu Intelligent Voice Interface, you first need to register a developer account on Baidu Cloud Platform, create an application, and obtain the corresponding API Key and Secret Key. Then, you need to install Python related libraries, including requests, etc.
3. Text-to-speech
Use Baidu Intelligent Voice Interface to implement text-to-speech, which can convert text into voice files. The following is a simple example:
import requests def text_to_speech(text, filename): url = "https://tsn.baidu.com/text2audio" params = { "tex": text, "lan": "zh", "cuid": "your_cuid", "ctp": "1", "tok": "your_access_token", } response = requests.get(url, params=params) with open(filename, "wb") as f: f.write(response.content) text = "你好,欢迎使用百度智能语音接口" filename = "output.mp3" text_to_speech(text, filename)
In the code, we use the requests library to send HTTP requests, call Baidu's interface, and convert text to speech. It should be noted that the cuid and tok parameters need to be replaced with your own.
4. Speech Recognition
Use Baidu Intelligent Speech Interface to realize speech recognition, which can convert speech files into text content. The following is a simple example:
import requests def speech_to_text(filename): url = "https://vop.baidu.com/server_api" params = { "cuid": "your_cuid", "token": "your_access_token", "dev_pid": "1536", } headers = { "Content-Type": "audio/wav; rate=16000" } with open(filename, "rb") as f: audio_data = f.read() response = requests.post(url, params=params, headers=headers, data=audio_data) result = response.json() if result["err_no"] == 0: text = result["result"][0] return text else: return None filename = "input.wav" text = speech_to_text(filename) print(text)
In the code, we use the requests library to send HTTP requests, call Baidu's interface, and convert voice files into text. Similarly, the cuid and token parameters need to be replaced with your own.
5. Speech synthesis
Use Baidu intelligent voice interface to achieve speech synthesis, which can synthesize multiple speech fragments into one speech file. The following is a simple example:
import requests def synthesis(inputs, filename): url = "https://tsn.baidu.com/text2audio" params = { "tex": inputs, "lan": "zh", "cuid": "your_cuid", "ctp": "1", "tok": "your_access_token", } response = requests.get(url, params=params) with open(filename, "wb") as f: f.write(response.content) inputs = "你好,欢迎使用百度智能语音接口" filename = "output.mp3" synthesis(inputs, filename)
In the code, we use the requests library to send HTTP requests, call Baidu's interface, and synthesize multiple voice clips into a voice file. Similarly, the cuid and tok parameters need to be replaced with your own.
6. Summary
Through the introduction of this article, we have learned how to use Python to connect to Baidu intelligent voice interface, and have given several commonly used sample codes. Readers can expand and optimize according to their own needs to further build smart audio applications. At the same time, we also noticed some key parameters in the API, which need to be modified according to your actual situation.
It should be reminded that the use of Baidu intelligent voice interface needs to comply with Baidu's development specifications and privacy policy, and comply with relevant laws and regulations.
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