Spoken Digit Classification using Deep Learning Algorithms

The deep learning technique uses speech recognition in many different applications, including voice assistants, authentication, audio transcriptions, etc. Children who are dyslexic, blind persons and those with impairments can all benefit from spoken digit recognition. goal of this paper is to create for the categorization digits 0 9 utilizing Convolution Neural Networks (CNN) Long Short -Term Memory neural networks. With addition autoencoders, performance CNN model assessed. Finally, a comparative analysis performed on performances models based metrics.