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Neural Acoustic-Phonetic Approach for Speaker Verification With Phonetic Attention Mask.

, , , and . IEEE Signal Process. Lett., (2022)

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An adaptive graph learning method based on dual data representations for clustering., , , and . Pattern Recognit., (2018)Neural Acoustic-Phonetic Approach for Speaker Verification With Phonetic Attention Mask., , , and . IEEE Signal Process. Lett., (2022)AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications., , , , , , and . ICSME, page 103-114. IEEE Computer Society, (2017)Speaker-Utterance Dual Attention for Speaker and Utterance Verification., , , , and . INTERSPEECH, page 4293-4297. ISCA, (2020)Extreme Learning Machine for Joint Embedding and Clustering., , , and . Neurocomputing, (2018)A Fully Integrated System-on-Chip Design with Scalable Resistive Random-Access Memory Tile Design for Analog in-Memory Computing., , , , , , , , , and 1 other author(s). Adv. Intell. Syst., (2022)Smile detection using Pair-wise Distance Vector and Extreme Learning Machine., , and . IJCNN, page 2298-2305. IEEE, (2016)Uncovering Dynamics of Global Mangrove Gains and Losses., , , , , , , and . Remote. Sens., 15 (15): 3872 (August 2023)Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification., , , and . CoRR, (2023)Incorporating Uncertainty from Speaker Embedding Estimation to Speaker Verification., , and . ICASSP, page 1-5. IEEE, (2023)