2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
cs.CL2023
Locale Encoding For Scalable Multilingual Keyword Spotting Models
Pai Zhu, Hyun Jin Park, Alex Park +2
A Multilingual Keyword Spotting (KWS) system detects spokenkeywords over multiple locales. Conventional monolingual KWSapproaches do not scale well to multilingual scenarios becaus…
eess.AS2022
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…