Speaker Recognition Task

Speaker recognition, the task of identifying individuals based on their voice, aims to develop robust and accurate systems for various applications. Current research focuses on improving robustness to noisy environments and channel variations, often employing deep learning architectures like TDNNs and Transformers, sometimes enhanced with attention mechanisms and self-supervised learning techniques such as wav2vec 2.0. These advancements are driven by the need for reliable speaker verification in diverse real-world scenarios, impacting fields ranging from security and forensics to personalized user interfaces and accessibility technologies.