A Comprehensive Study on Automatic Speaker Recognition by using Deep Learning Techniques

In Speaker, identifying or recognizing human voices is a challenging task. Recently, the automatic speaker recognition technique has been developed by using deep learning techniques. However, there is a lot of wide-ranging reviews on the implementation of deep learning techniques. The authors of this work examine numerous main subtasks of automatic speaker recognition, such as speaker verification and identification, focusing on deep learning-based solutions. This article offers the groundwork for establishing effective voice recognition, automatic speaker recognition planning, and accurate quantitative voice recognition evaluation using deep learning classifiers. Finally, the authors have analyzed robust speaker recognition with two primary techniques like domain mismatch and noise difficulties, for speech improvement and domain adaption.