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A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification.

, , and . Int. J. Neural Syst., 12 (5): 381-397 (2002)

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Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling., , , and . ICASSP (1), page 181-184. IEEE, (2005)Unsupervised Domain Adaptation for Gender-Aware PLDA Mixture Models., and . ICASSP, page 5269-5273. IEEE, (2018)Construction of discriminative Kernels from known and unknown non-targets for PLDA-SVM scoring., and . ICASSP, page 4012-4016. IEEE, (2014)Likelihood-ratio empirical kernels for i-vector based PLDA-SVM scoring., and . ICASSP, page 7702-7706. IEEE, (2013)A new adaptation approach to high-level speaker-model creation in speaker verification., and . Speech Commun., 51 (6): 534-550 (2009)Denoised Senone I-Vectors for Robust Speaker Verification., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (4): 820-830 (2018)A GMM-Based Handset Selector for Channel Mismatch Compensation with Applications to Speaker Identification., , and . IEEE Pacific Rim Conference on Multimedia, volume 2195 of Lecture Notes in Computer Science, page 1132-1137. Springer, (2001)Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments., , , , and . APSIPA ASC, page 1299-1304. IEEE, (2021)Feature Selection and Text Embedding for Detecting Dementia from Spontaneous Cantonese., , and . ICASSP, page 1-5. IEEE, (2023)Avoiding dominance of speaker features in speech-based depression detection., and . Pattern Recognit. Lett., (September 2023)