2 papers
eess.AS2024
Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition
Hao Yen, Pin-Jui Ku, Sabato Marco Siniscalchi +1
We propose a novel language-universal approach to end-to-end automatic spoken keyword recognition (SKR) leveraging upon (i) a self-supervised pre-trained model, and (ii) a set of u…
eess.AS2023
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints
Hao Yen, Sabato Marco Siniscalchi, Chin-Hui Lee
We propose a first step toward multilingual end-to-end automatic speech recognition (ASR) by integrating knowledge about speech articulators. The key idea is to leverage a rich set…