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Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings.

, , , , , , and . INTERSPEECH, page 1446-1450. ISCA, (2022)

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Multilingually trained bottleneck features in spoken language recognition., , , , , and . Comput. Speech Lang., (2017)Discriminatively Re-trained i-vector Extractor for Speaker Recognition., , , , and . CoRR, (2018)Analysis of Score Normalization in Multilingual Speaker Recognition., , , , , and . INTERSPEECH, page 1567-1571. ISCA, (2017)BUT language recognition system for NIST 2007 evaluations., , , , , , , , and . INTERSPEECH, page 739-742. ISCA, (2008)An Attention-Based Backend Allowing Efficient Fine-Tuning of Transformer Models for Speaker Verification., , , , , and . SLT, page 555-562. IEEE, (2022)Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition., , , , and . INTERSPEECH, page 3265-3269. ISCA, (2016)Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings., , , , , , and . INTERSPEECH, page 1446-1450. ISCA, (2022)Domain adaptation via within-class covariance correction in I-vector based speaker recognition systems., , , , , , and . ICASSP, page 4032-4036. IEEE, (2014)Automatic language identification using deep neural networks., , , , , and . ICASSP, page 5337-5341. IEEE, (2014)End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA., , , , , and . ICASSP, page 4874-4878. IEEE, (2018)