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Multi-Resolution Multi-Head Attention In Deep Speaker Embedding
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Multi-Resolution Multi-Head Attention In Deep Speaker Embedding
Pooling is an essential component to capture long-term speaker characteristics for speaker recognition. This paper proposes simple but effective pooling methods to compute attentive weights for better temporal aggregation over the variable-length input sp
Pooling is an essential component to capture long-term speaker characteristics for speaker recognition. This paper proposes simple but effective pooling methods to compute attentive weights for better temporal aggregation over the variable-length input sp
