论文标题
使用自然语言处理将声学信号（语音）转换为文本
Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing
论文作者
论文摘要
日常生活中交流最关键的方面之一是言语识别。基于自然语言处理的语音识别是将一个系统转换为另一个系统的基本要素之一。在本文中，我们创建了一个界面，将语音和其他听觉输入转换为使用数字过滤器的文本。与这种转换的许多方法相反，语言缺陷偶尔出现，性别识别，语音识别，不成功（无法识别语音）和性别识别失败。由于涉及技术问题，我们开发了一个程序，该程序充当调解人，以防止启动软件问题，以消除这种小偏差。其计划的MFCC和HMM与其AI系统同步。结果，已经避免了技术错误。
One of the most crucial aspects of communication in daily life is speech recognition. Speech recognition that is based on natural language processing is one of the essential elements in the conversion of one system to another. In this paper, we created an interface that transforms speech and other auditory inputs into text using a digital filter. Contrary to the many methods for this conversion, it is also possible for linguistic faults to appear occasionally, gender recognition, speech recognition that is unsuccessful (cannot recognize voice), and gender recognition to fail. Since technical problems are involved, we developed a program that acts as a mediator to prevent initiating software issues in order to eliminate even this little deviation. Its planned MFCC and HMM are in sync with its AI system. As a result, technical errors have been avoided.
