Text-Independent Speaker Recognition

Text-Independent Speaker Recognition is a biometric technology designed to identify speakers by analyzing acoustic features in speech signals without focusing on the specific content being spoken. The goal of this technology is to create a system that can accurately and efficiently distinguish between different speakers, thereby achieving identity verification without relying on particular words or sentences. Its application value is extensive, including areas such as security authentication, personalized voice assistant services, call record management, and legal forensics.