The TitaNet model is trained end-to-end with AAM loss to enhance speaker embeddings' cosine distance. The paper focuses on verification and diarization experiments utilizing cosine similarity. The formula for optimization is detailed in the content.
To Another Language
from source content
ar5iv.org
Thông tin chi tiết chính được chắt lọc từ
by lúc ar5iv.labs.arxiv.org 02-29-2024
https://ar5iv.labs.arxiv.org/html/2110.04410Yêu cầu sâu hơn