• PATLOLLA SOWMYA
• MUKKERA SAI TEJA

Speech is a prominent communication method among humans, whereas the communication between human and computer were based on text user interface and graphic user interface. Speech recognition is used in almost every security project where you need to speak and tell your password to computer and is also used for automation. With the development of multimedia technology, speech recognition technology has increasingly become a hotspot of research in recent years. It has wide range of applications, which deals with recognizing the identity of speakers that can be classified into speech identification and speech verification according to the decision modes. This project demonstrates a model that enhances technological advancement where humans and computers interact via voice user interface. We are performing speech editing as well as degradation of signals by the application of Gaussian noise. This background will be successfully removed by the application of Butterworth filter. In developing the model, cross correlation was implemented in MATLAB to compare two or more signals and detect the most accurate one of the all. Thus, we will be able to develop a model where machines can differentiate between commands and act upon them.

Formants, Gaussian Noise, MATLAB Programming, Pitch Vector, Speech Editing, Speech Recognition

"Speech Recognition Using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.1-5, March-2021, Available :http://www.jetir.org/papers/JETIR2103001.pdf

"Speech Recognition Using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp1-5, March-2021, Available at : http://www.jetir.org/papers/JETIR2103001.pdf