Leveraging Region based Convolutional Neural Network (RCNN) with GMM Model Assisted by Hidden Markov Model for Speaker Detection

This study suggests a novel deep learning and established methods-based speaker detection and identification system. A region-based CNN analyzes spectrograms for speaker detection, guiding a Gaussian Mixture Model (GMM) for improved speaker clustering. This approach aims to achieve higher accuracy and efficiency compared to traditional diarization methods.