Disentangled Speaker Representation Learning via Mutual Information Minimization
Author:
Affiliation:
1. Seoul National University,Department of Electrical and Computer Engineering and INMC,Seoul,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9979726/9979808/09979966.pdf?arnumber=9979966
Reference39 articles.
1. Adversarial Speaker Verification
2. VoxCeleb: A Large-Scale Speaker Identification Dataset;nagrani;Proc INTERSPEECH,0
3. ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
4. Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification;mun;ArXiv Preprint,2022
5. Augmentation adversarial training for unsupervised speaker recognition;huh;Workshop on Self-Supervised Learning for Speech and Audio Processing NeurIPS,0
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1. Distance Metric-Based Open-Set Domain Adaptation for Speaker Verification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. Privacy-Oriented Manipulation of Speaker Representations;IEEE Access;2024
3. Joint Speech-Text Embeddings with Disentangled Speaker Features;2023 34th Irish Signals and Systems Conference (ISSC);2023-06-13
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