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.
Vers une autre langue
à partir du contenu source
ar5iv.org
Idées clés tirées de
by à ar5iv.labs.arxiv.org 02-29-2024
https://ar5iv.labs.arxiv.org/html/2110.04410Questions plus approfondies