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Found 4 papers, 0 papers with code
Bridging the Gap between Audio and Text using Parallel-attention for User-defined Keyword Spotting
This paper proposes a novel user-defined keyword spotting framework that accurately detects audio keywords based on text enrollment.
VoxSim: A perceptual voice similarity dataset
This paper introduces VoxSim, a dataset of perceptual voice similarity ratings.
Metric Learning for User-defined Keyword Spotting
In particular, we make the following contributions: (1) we construct a large-scale keyword dataset with an existing speech corpus and propose a filtering method to remove data that degrade model training; (2) we propose a metric learning-based two-stage training strategy, and demonstrate that the proposed method improves the performance on the user-defined keyword spotting task by enriching their representations; (3) to facilitate the fair comparison in the user-defined KWS field, we propose unified evaluation protocol and metrics.
Disentangled representation learning for multilingual speaker recognition
The goal of this paper is to learn robust speaker representation for bilingual speaking scenario.
