Journal of Cognitive Human-Computer Interaction JCHCI 2771-1463 2771-1471 10.54216/JCHCI https://www.americaspg.com/journals/show/1817 2021 2021 Department Of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India C. Vivek UG Scholar 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 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 2023 08 14 10.54216/JCHCI.050201 https://www.americaspg.com/articleinfo/25/show/1817