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Towards noise-robust speaker recognition using probabilistic linear discriminant analysis.

, , , , and . ICASSP, page 4253-4256. IEEE, (2012)

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Simplified VTS-based I-vector extraction in noise-robust speaker recognition., , , and . ICASSP, page 4037-4041. IEEE, (2014)Advances in deep neural network approaches to speaker recognition., , and . ICASSP, page 4814-4818. IEEE, (2015)Prosodic knowledge sources for automatic speech recognition., , , , and . ICASSP (1), page 208-211. IEEE, (2003)The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases, , , , , , , , , and 5 other author(s). Nucleic Acids Res., (2016)Fusion approaches for emotion recognition from speech using acoustic and text-based features., , , and . CoRR, (2024)SVM modeling of "SNERF-grams" for speaker recognition., , , and . INTERSPEECH, page 1409-1412. ISCA, (2004)Speech-based assessment of PTSD in a military population using diverse feature classes., , , , , , , and . INTERSPEECH, page 3729-3733. ISCA, (2015)Mitigating the effects of non-stationary unseen noises on language recognition performance., , , and . INTERSPEECH, page 3446-3450. ISCA, (2015)Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make?, , and . Interspeech, page 1059-1063. ISCA, (2021)Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization., and . INTERSPEECH, page 4350-4354. ISCA, (2019)