CHALLENGES, USE-CASE OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN EDUCATION

Abstract

Speech Recognition is an exciting and fun field to get started with Machine Learning and Artificial Intelligence. This paper shows how to use ASR for educational purposes. We showed how to convert speech-to-text and Real-time recognition using Python. We wrote a program that understands what we are saying and translates it into written words. This translation is known as speech recognition. We covered work with AssemblyAI and OpenAI building a speech emotion recogniser using Python; the recognition and the training were done over static audio files, which we recorded.