Speaker augmentation via resampling and rescaling creates pseudo-speakers and hard training samples that reduce target confusion and improve end-to-end speaker extraction.
On the effectiveness of enrollment speech augmentation fo r tar- get speaker extraction,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
An Investigation on Speaker Augmentation for End-to-End Speaker Extraction
Speaker augmentation via resampling and rescaling creates pseudo-speakers and hard training samples that reduce target confusion and improve end-to-end speaker extraction.