Notes play a crucial role in a student’s learning journey as they serve as condensed, personalized records of information acquired during lectures or study sessions. Effective note taking enhances comprehension, aids retention, and facilitates later review, reinforcing the learning process. They help students organize information, make connections between ideas, and engage more actively with the learning material. Note taking, however, can be a tedious process for several reasons. Firstly, it requires simultaneous listening, understanding, and writing, which can be challenging, especially in fast-paced lectures. Additionally, students must discern between essential and non-essential information, a skill that takes time to develop. Automatic note generation addresses these challenges by leveraging technology to streamline and optimize the note-taking process. It eliminates the need for students to transcribe lectures in real time, reducing the cognitive load and allowing them to focus more on understanding the content. This document seeks to present a synopsis of the different steps involved in automatic note generation using in speech recognition, text summarization, and machine translation between 2012 and 2022. Out of 80 initially identified publications, 39 articles were included for final synthesis, according to specific criteria. The critical analysis across various papers in the field of speech recognition shows that many papers exhibit a tendency to overlook the nuances of scalability. Additionally, a notable deficiency lies in comprehensive discussions about the generalization of these models across different languages and diverse datasets, limiting the broader adaptability of the proposed solutions. Moreover, the scarcity of domain-specific details in generic summarization and the potential loss of information during preprocessing underscore the need for more nuanced and domain-aware approaches. The conclusions reflect on the lack of a system that can convert audio lectures into running notes for students, which may prove very beneficial to students because it has the ability to transform the way they interact with educational content. Such a system could greatly enhance study efficiency by offering concise and easily digestible summaries of complex lecture materials.