• Sagar V. Fegade
• Dr. Ashish Chaturvedi

Artificial Neural Networks (ANNs) were developed in response to the neural networks found in the human brain and have found widespread application in speech processing. ANN applications include, among others, speech recognition, speech emotion recognition, language identification, speech enhancement, and speech separation. Similarly, given that human speech processing involves complex cognitive processes known as auditory attention, a growing number of papers have proposed ANNs supported by deep learning algorithms in conjunction with some mechanism to achieve symmetry with the human attention process.. This survey paper provides a comprehensive review of the various attention models used in the development of automatic speech recognition system for English vowels. This paper also describes a novel method for recognizing vowels. Lip features extracted via a combined method are fed into a neural network system for recognition.

Voice recognition, artificial neural networks, Features extractions

"VOICE RECOGNITION FOR ENGLISH VOWELS USING ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.d155-d157, August-2021, Available :http://www.jetir.org/papers/JETIR2108390.pdf

"VOICE RECOGNITION FOR ENGLISH VOWELS USING ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppd155-d157, August-2021, Available at : http://www.jetir.org/papers/JETIR2108390.pdf