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Beltrán Labrador

2 accepted papers

2025

Personalizing Keyword Spotting with Speaker Information

ICASSP 2025accepted

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 integrates speaker information into keyword spotting using Feature-wise Linear Modulation (FiLM), a recent method that allows…

Cited by 0SourceScholar
2023

Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting

ICASSP 2023accepted

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 keyword in the text transcription with a special token <kw> and training the system to detect the <kw> token in an audio s…

Cited by 0SourceScholar