A Logical Model for Recognizing Sentences with Punctuation using Python API

In converting spoken language to text., there are challenges such as fluency and pronunciation variation. This study incorporated advanced speech-to-text and summarization techniques using the Python API Natural Language Toolkit (NLTK). The proposed model refines custom punctuation handling and text conversion from continuous audio. It was found that the proposed model recognized sentences quickly and accurately during the experiment, and the results were tabulated.