OpenFEAT: Improving Speaker Identification by Open-Set Few-Shot Embedding Adaptation with Transformer
Author:
Affiliation:
1. Rochester Institute of Technology,Rochester,NY,USA
2. Amazon Alexa AI,Sunnyvale,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747613.pdf?arnumber=9747613
Reference25 articles.
1. X-Vectors: Robust DNN Embeddings for Speaker Recognition
2. Probabilistic Linear Discriminant Analysis
3. Probabilistic Linear Discriminant Analysis for Inferences About Identity
4. MagNetO: X-vector Magnitude Estimation Network plus Offset for Improved Speaker Recognition
5. Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition
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1. ReptoNet: A 3D Log Mel Spectrogram-Based Few-Shot Speaker Identification with Reptile Algorithm;Arabian Journal for Science and Engineering;2024-08-15
2. CACRN-Net: A 3D log Mel spectrogram based channel attention convolutional recurrent neural network for few-shot speaker identification;Computers and Electrical Engineering;2024-04
3. Speaker Verification Using Distance Based on Principal Component Analysis for Household Scenario Adaptation;2023 RIVF International Conference on Computing and Communication Technologies (RIVF);2023-12-23
4. Few-Shot Speaker Identification Using Lightweight Prototypical Network With Feature Grouping and Interaction;IEEE Transactions on Multimedia;2023
5. Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification;Interspeech 2022;2022-09-18
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