aspg-25-1817-1792223287 20261017074807 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2023 5 2 C. Vivek Department Of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India M. Indu UG Scholar Department Of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India N. Nandhini UG Scholar Department Of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India Speech is a verbal communication used by humans through language. Likewise speech recognition is a process of converting speech to text. This paper provides a study of use of artificial neural networks(ANN) in speech recognition. Hidden Markov models (HMM) is a traditional statistical techniques for performing speech recognition. In speech detection software, Mel frequency cepstral coefficients (MFCCs) are frequently used. With different approaches evolving, we deal with the features used to recognize the speech pattern and implementation of speech recognition in the efficient types of artificial neural network (ANN). 2023 08 14 1817 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.050201 https://americaspg.com/journal/25/article/1817 https://americaspg.com/storage/91772466199.pdf