• N M Ramalingeswararao
• Kunaparaju Naga Durga Saranya
• Raavipati Sirisha
• Lakshman Surya Kumar Muppiri
• Korada Ventaka Sai Sankeerthana

-Computers often interact with humans through textual or graphical user interfaces as opposed to spoken human-computer dialogue. Automatic processes and any kind of password-protected computer software all use speech recognition. Research into voice recognition technology has increased greatly in recent years due to the proliferation of multimedia. Based on the decision-making processes used, its many applications for speaker identification fall under the headings of speech identification and voice verification. To demonstrate the potential for collaboration between people and machines in the advancement of technology, this project makes use of a vocal user interface. We are doing some signal deterioration using Gaussian noise and also editing some speech. Using Wavelet Transforms, we can get rid of the backdrop. Two or more signals were compared using correlation in MATLAB to determine which was the most reliable for use in creating the model. In this way, we may create a model where machines can recognise and respond appropriately to various types of instructions.

Gaussian Noise, wavelets, symlet, coiflet, correlation.

"SPEECH RECOGNITION USING DENOISING TECHINQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.b241-b246, February-2023, Available :http://www.jetir.org/papers/JETIR2302135.pdf

"SPEECH RECOGNITION USING DENOISING TECHINQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppb241-b246, February-2023, Available at : http://www.jetir.org/papers/JETIR2302135.pdf