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A Lightweight Reservoir Computing Approach with Multi-Scale Attention for Robust Speaker Verification
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00521-024-09505-4openalex-snapshot
Adaptive temperature scaling for Robust calibration of deep neural networks
inferredcites →https://doi.org/10.1016/j.engappai.2023.107232openalex-snapshot
Deep speaker embeddings for Speaker Verification: Review and experimental comparison
inferredcites →https://doi.org/10.1016/j.neunet.2021.03.004openalex-snapshot
Speaker recognition based on deep learning: An overview
inferredcites →https://doi.org/10.1038/s43588-021-00184-yopenalex-snapshot
Opportunities for neuromorphic computing algorithms and applications
inferredcites →https://doi.org/10.1109/access.2021.3090109openalex-snapshot
Deep Speaker Recognition: Process, Progress, and Challenges
inferredcites →https://doi.org/10.1109/lsp.2018.2822810openalex-snapshot
Additive Margin Softmax for Face Verification
inferredcites →https://doi.org/10.12779/dnd.2024.23.1.1openalex-snapshot
Harnessing the Power of Voice: A Deep Neural Network Model for Alzheimer’s Disease Detection
inferredcites →https://doi.org/10.3311/ppee.20971openalex-snapshot
Speaker Recognition through Deep Learning Techniques
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