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Detecting Synthetic Speech Manipulation in Real Audio Recordings., , , , , and . WIFS, page 1-6. IEEE, (2022)Analysis of Critical Metadata Factors for the Calibration of Speaker Recognition Systems., , , , and . INTERSPEECH, page 4325-4329. ISCA, (2019)The Speakers in the Wild (SITW) Speaker Recognition Database., , , and . INTERSPEECH, page 818-822. ISCA, (2016)Open Language Interface for Voice Exploitation (OLIVE)., , , , , , , , and . INTERSPEECH, page 377-378. ISCA, (2016)Analysis of phonetic markedness and gestural effort measures for acoustic speech-based depression classification., , and . ACII Workshops, page 165-170. IEEE Computer Society, (2017)Robust Speaker Recognition from Distant Speech under Real Reverberant Environments Using Speaker Embeddings., , , , , , and . INTERSPEECH, page 1106-1110. ISCA, (2018)Analysis of Complementary Information Sources in the Speaker Embeddings Framework., , , , and . INTERSPEECH, page 3568-3572. ISCA, (2018)On the Issue of Calibration in DNN-Based Speaker Recognition Systems., , , and . INTERSPEECH, page 1825-1829. ISCA, (2016)Trial-based Calibration for Speaker Recognition in Unseen Conditions., , , , and . Odyssey, page 19-25. ISCA, (2014)Application of Convolutional Neural Networks to Language Identification in Noisy Conditions., , , , and . Odyssey, page 287-292. ISCA, (2014)