2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices
Beltrán Labrador, Manuel Otero-Gonzalez, Alicia Lozano-Diez +3
This paper presents VoxCeleb-ESP, a collection of pointers and timestamps to YouTube videos facilitating the creation of a novel speaker recognition dataset. VoxCeleb-ESP captures…
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…
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
Beltrán Labrador, Guanlong Zhao, Ignacio López Moreno +3
In this paper, we present a novel approach to adapt a sequence-to-sequence Transformer-Transducer ASR system to the keyword spotting (KWS) task. We achieve this by replacing the ke…