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.

翻译：日常生活中通信的最重要方面之一是语音识别; 以自然语言处理为基础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,将语音和其他听力输入转换成使用数字过滤器的文本; 与这种转换的许多方法相反,语言错误偶尔出现,性别识别,不成功的语音识别(不承认声音)和性别识别也有可能失败; 由于涉及到技术问题,我们制定了一个程序,作为调解人,防止启动软件问题,以便消除甚至这种微小的偏差; 其计划 MFCC 和 HMM 与 AI 系统同步; 结果避免了技术错误。