Speaker augmentation via resampling and rescaling creates pseudo-speakers and hard training samples that reduce target confusion and improve end-to-end speaker extraction.
By applying a resampling-and-rescaling pipeline, we can gene rate vast pseudo-speakers, enriching speaker diversity in the t rain- ing data
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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.