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Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation.

, , , and . EURASIP J. Audio Speech Music. Process., (2014)

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Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation., , , and . EURASIP J. Audio Speech Music. Process., (2014)An adapted data selection for deep learning-based audio segmentation in multi-genre broadcast channel., , , and . Digit. Signal Process., (2018)A new joint CTC-attention-based speech recognition model with multi-level multi-head attention., , and . EURASIP J. Audio Speech Music. Process., (2019)A ReRAM Macro Using Dynamic Trip-Point-Mismatch Sampling Current-Mode Sense Amplifier and Low-DC Voltage-Mode Write-Termination Scheme Against Resistance and Write-Delay Variation., , , , , , , , , and 1 other author(s). IEEE J. Solid State Circuits, 54 (2): 584-595 (2019)Rapid speaker adaptation using compressive sensing., , , and . Speech Commun., 55 (10): 950-963 (2013)On the self-organization of a hybrid peer-to-peer system., and . J. Netw. Comput. Appl., 33 (2): 183-202 (2010)Speaker adaptation based on speaker-dependent eigenphone estimation., , and . ASRU, page 48-52. IEEE, (2011)Application of i-vector in speech and music classification., , , , and . ISSPIT, page 1-5. IEEE, (2016)Speaker adaptation based on sparse and low-rank eigenphone matrix estimation., , , and . INTERSPEECH, page 2972-2976. ISCA, (2014)7.4 A 256b-wordlength ReRAM-based TCAM with 1ns search-time and 14× improvement in wordlength-energyefficiency-density product using 2.5T1R cell., , , , , , , , , and 1 other author(s). ISSCC, page 136-137. IEEE, (2016)