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Extracting Speaker and Emotion Information from Self-Supervised Speech Models via Channel-Wise Correlations.

, , , , , and . SLT, page 1136-1143. IEEE, (2022)

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An Attention-Based Backend Allowing Efficient Fine-Tuning of Transformer Models for Speaker Verification., , , , , and . SLT, page 555-562. IEEE, (2022)Closed-form expressions vs. BIC: A comparison for speaker clustering., , , and . ICASSP, page 2228-2231. IEEE, (2011)DeepMine Speech Processing Database: Text-Dependent and Independent Speaker Verification and Speech Recognition in Persian and English., , and . Odyssey, page 386-392. ISCA, (2018)Developing a Scoring Algorithm for Automatic Pronunciation Assessment of Modern Greek., , and . J. Quant. Linguistics, 18 (1): 1-22 (2011)PLDA for speaker verification with utterances of arbitrary duration., , , , and . ICASSP, page 7649-7653. IEEE, (2013)Spoofing Detection on the ASVspoof2015 Challenge Corpus Employing Deep Neural Networks., , , and . Odyssey, page 270-276. ISCA, (2016)Joint Factor Analysis for Text-Dependent Speaker Verification., , , , and . Odyssey, ISCA, (2014)Speaker and Channel Factors in Text-Dependent Speaker Recognition., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (1): 65-78 (2016)Combining amplitude and phase-based features for speaker verification with short duration utterances., , and . INTERSPEECH, page 249-253. ISCA, (2015)Redefining the Bayesian information criterion for speaker diarisation., , and . INTERSPEECH, page 1051-1054. ISCA, (2009)