This code utilizes the Baidu Speech Recognition API to convert audio speech into text. The process is as follows: 1. The `my_record()` function records audio using the PyAudio library and saves it as a WAV file. 2. The `get_audio()` function reads the audio file and returns its data. 3. The `speech2text()` function takes the speech data, API token, and dev_pid as input and sends a POST request to the Baidu API to convert the speech into text. 4. The result is returned and printed. The `shibie()` function combines all the above steps to record audio, convert it into text, and print the result. The identified text is then used to open a web browser with relevant search results. The code can be modified to include other audio files or speech recognition APIs if desired.
时间: 2024-04-20 12:22:54 浏览: 21
这段代码利用百度语音识别API将音频语音转换为文本。具体过程如下:
1. `my_record()` 函数使用 PyAudio 库录制音频并将其保存为 WAV 文件。
2. `get_audio()` 函数读取音频文件并返回其数据。
3. `speech2text()` 函数接收语音数据、API 令牌和 dev_pid 作为输入,并向百度 API 发送 POST 请求将语音转换为文本。
4. 返回结果并打印出来。
`shibie()` 函数将上述所有步骤组合在一起,录制音频,将其转换为文本,并打印结果。然后使用识别的文本打开一个带有相关搜索结果的网页浏览器。
如果需要,可以修改代码以包括其他音频文件或语音识别API。
相关问题
This function utilizes the following packages: GDATA
As an AI language model, I cannot implement packages. However, I can provide you with some information about the GDATA package.
GDATA is a Python package that provides a way to read and write data in various formats such as CSV, Excel, Google Sheets, and Google Drive. It is particularly useful for working with Google Sheets and Google Drive data. The package provides a simple and intuitive interface for accessing Google Sheets and Drive data, making it easy to read, write, and manipulate data. With GDATA, you can also work with Google Drive files, such as spreadsheets, documents, and presentations, using Python.
Overall, GDATA is a powerful tool for working with Google Sheets and Drive data, and it can be used for a wide range of data-related tasks, including data analysis, data manipulation, and data visualization.
BR/EDR Legacy Pairing utilizes the E21 or E22 algorithms based on SAFER+. Device authentication is based on the E1 algorithm, which is also based on SAFER+. Encryption utilizes the E0 algorithm derived from the MasseyRueppel algorithm. There is no provision for cryptographic message integrity. While the CRC provides some integrity protection, it is not considered to provide cryptographic integrity as it can be easily forged.
BR/EDR Legacy Pairing使用基于SAFER+的E21或E22算法。设备认证基于E1算法,也是基于SAFER+的。加密使用从MasseyRueppel算法中派生的E0算法。没有提供加密消息完整性的规定。虽然CRC提供了一定的完整性保护,但它不被认为能提供加密完整性,因为它很容易被伪造。