Matthew N. O. Sadiku, Janet O. Sadiku
Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, basically means talking to a computer and getting it to understand and interpret your spoken words. It is a transformative process that converts auditory signals into textual transcripts. It is a technology that enables a machine or program to identify and understand words or phrases from spoken language and convert them into machine readable format. It is a subfield of computational linguistics that deals with technologies to allow spoken input into systems. From the voice assistants in our pockets to the automated transcription services powering global business meetings, ASR has become a cornerstone of modern technology. Once the spoken language is transcribed into text, NLP takes center stage. NLP's role is to interpret the meaning and intent embedded within this textual data. NLP's contributions to speech recognition extend far beyond basic text interpretation. This paper explores the integration of NLP within modern speech recognition systems.
Natural Language Processing (NLP), Computational Linguistics, Speech, Speech Recognition (SR), Automatic Speech Recognition (ASR), Voice Recognition