• Astha Gupta
• Neeraj Sharma

The earliest advances in speech recognition centered in the main on the creation of vowel sounds, because the basis of a system that may conjointly learn to interpret phonemes (the building blocks of speech) from close interlocutors. [1] These inventors were hampered by the technological context during which they lived, with solely basic suggests that their disposal to create a talking machine. Even so, they supply necessary background to more modern innovations. The history of the technology reveals that speech recognition is way from a brand new preoccupation, albeit the pace of development has not forever matched the amount of interested within the topic. The appeal is speech recognition is instinctive and fascinated that machines can understand us. In this paper, we take a trip through the voice recognition technologylike Dynamic Time Wrapping, Hidden Markov Model, Artificial Neural Network and Vector Quantization used in the past and their comparison and applications.

Speech Recognition, Dynamic Time Wrapping, Hidden Markov Model, Artificial Neural Network and Vector Quantization.

" Acoustic Authentication Techniques and Applications: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.447-451, June-2019, Available :http://www.jetir.org/papers/JETIR1906068.pdf

" Acoustic Authentication Techniques and Applications: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp447-451, June-2019, Available at : http://www.jetir.org/papers/JETIR1906068.pdf