Speaker Recognition through Deep Learning Techniques

Deep learning has now become an integral part of today's world and advancement in the field deep gained a huge development. Due to extensive use fast growth learning, it captured attention researchers speaker recognition. A detailed investigation regarding process becomes essential helpful for designing robust applications recognition, both verification identification. This paper reviews recognition taking into consideration present era that boosts up this technology. The continues with systematic review by firstly giving basic idea its architecture application, then entering high-lighted portion our i.e., which is one important learning. Here we have mentioned types, different processing techniques, challenges come across technology, performance evaluation criteria, implementation frameworks, lastly various databases used identification (SI) Speaker Verification (SV).