Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Voice AI tech has undergone a complete transformation thanks to neural networks, which now deliver crystal-clear sound even in the noisiest environments and are changing how people talk to machines. This deep article explores the nuts and bolts of neural networks that power everything from cutting background noise on Zoom calls to creating voices that sound eerily human. First, the article breaks down how deep neural networks and their convolutional cousins process sound, showing exactly how these systems pull human speech out of noisy chaos. Then it jumps into real-world examples like Microsoft Teams and Krisp, before tackling bigger applications - transcription tools, text-to-speech engines, voice cloning tech, and those virtual assistants everyone keeps talking to. Along the way, readers get the inside scoop on breakthroughs in model design, training tricks, and how these systems run on everything from server farms to smartphones. The final section tackles the growing job market for voice AI experts and the thorny ethical questions these technologies raise as they spread through healthcare, education, and practically everywhere else people communicate.