CopyPaste-based parallel data, cosine similarity loss, and energy-based emotion masking reduce speaker verification EER by 19.29% relative on the Dusha emotional speech corpus.
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,
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Learning Emotion-Invariant Speaker Representations for Speaker Verification
CopyPaste-based parallel data, cosine similarity loss, and energy-based emotion masking reduce speaker verification EER by 19.29% relative on the Dusha emotional speech corpus.