2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SD2024
Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios
Juan Ignacio Alvarez-Trejos, Beltrán Labrador, Alicia Lozano-Diez
End-to-end neural speaker diarization systems are able to address the speaker diarization task while effectively handling speech overlap. This work explores the incorporation of sp…
eess.AS2023★ 2 cited
Personalizing Keyword Spotting with Speaker Information
Beltrán Labrador, Pai Zhu, Guanlong Zhao +5
Keyword spotting systems often struggle to generalize to a diverse population with various accents and age groups. To address this challenge, we propose a novel approach that integ…