Speaker Recognition for Hindi Language Using Convolution-ResNet Neural Network

The work presents speaker identification using deep learning. Deep learning-based speaker identification is presented in this paper. The process of recognising a speaker from their uttered words is known as speaker identification. Security, speaker tracking, forensic speaker recognition, surveillance, and authentication are among the uses for speaker recognition technologies. Deep learning for Hindi voice was used in the creation of the system for identifying speakers.. The ResNet-based architecture to extract speaker embeddings. The results of the research can be utilised by the investigator to producer speaker identification Text-dependent speaker verification systems.