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Softsad: Integrated frame-based speech confidence for speaker recognition.

, , and . ICASSP, page 4694-4698. IEEE, (2015)

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SVM Speaker Verification Using Session Variability Modelling and GMM Supervectors., , and . ICB, volume 4642 of Lecture Notes in Computer Science, page 1077-1084. Springer, (2007)The SRI AVEC-2014 Evaluation System., , , , , , and . AVEC@MM, page 93-101. ACM, (2014)Improved speaker recognition using DCT coefficients as features., and . ICASSP, page 4430-4434. IEEE, (2015)A novel scheme for speaker recognition using a phonetically-aware deep neural network., , , and . ICASSP, page 1695-1699. IEEE, (2014)Detecting Synthetic Speech Manipulation in Real Audio Recordings., , , , , and . WIFS, page 1-6. IEEE, (2022)The SRI International STAR-LAB System Description for IberSPEECH-RTVE 2018 Speaker Diarization Challenge., , and . IberSPEECH, page 208-210. ISCA, (2018)Inter-session variability modelling and joint factor analysis for face authentication., , , and . IJCB, page 1-8. IEEE Computer Society, (2011)To Weight or Not to Weight: Source-Normalised LDA for Speaker Recognition Using i-vectors., and . INTERSPEECH, page 2709-2712. ISCA, (2011)Analysis of Critical Metadata Factors for the Calibration of Speaker Recognition Systems., , , , and . INTERSPEECH, page 4325-4329. ISCA, (2019)Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance., , , , and . INTERSPEECH, page 3593-3597. ISCA, (2018)