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Domain-invariant I-vector Feature Extraction for PLDA Speaker Verification.

, , , , and . Odyssey, page 155-161. ISCA, (2018)

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Food Volume Estimation in a Mobile Phone Based Dietary Assessment System., , , , , , and . SITIS, page 988-995. IEEE Computer Society, (2012)Domain-invariant I-vector Feature Extraction for PLDA Speaker Verification., , , , and . Odyssey, page 155-161. ISCA, (2018)Adaptive Mean Normalization for Unsupervised Adaptation of Speaker Embeddings., , , , and . Odyssey, page 88-94. ISCA, (2020)Smart Phone Based Sensor Fusion by Using Madgwick Filter for 3D Indoor Navigation., and . Wirel. Pers. Commun., 113 (4): 2499-2517 (2020)EyeNet: An Improved Eye States Classification System using Convolutional Neural Network., , , , , , and . ICACT, page 84-90. IEEE, (2020)Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification., and . SMC, page 3588-3593. IEEE, (2020)Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh., , , , and . AIIoT, page 366-372. IEEE, (2021)A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System., , , , and . ICME Workshops, page 418-423. IEEE Computer Society, (2012)Investigating in-domain data requirements for PLDA training., , , and . INTERSPEECH, page 2322-2326. ISCA, (2015)The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition., , , , and . INTERSPEECH, page 3456-3460. ISCA, (2015)