Beyond Short Segments : Expanding Speaker Embeddings with Vector Archives
The Vector Archive Mapping ECAPA (VAM-ECAPA), a novel system designed to enhance feature extraction from short-duration speech, is proposed, which enriches information-scarce features by mapping them against a learnable Vector Archive of canonical speaker traits.
Hyunku Kang, Minkyu Cho, Chanwoo Kim
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