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Structured Discriminative Models Using Deep Neural-Network Features
mi.eng.cam.ac.uk/~mjfg/asru15-vanDalen.pdf11 Mar 2016: 5.1. AURORA 4. AURORA 4 is a medium-to-large noise-corrupted speech recogni-tion task [20]. ... 6950–6954. [20] N. Parihar and J. Picone, “Aurora working group: DSR frontend LVCSR evaluation,” Tech. -
Structured and InûniteDiscriminative Models for Speech Recognition…
mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf26 Jul 2016: 19. 2.4.1 Maximum a Posteriori (MAP). 20. 2.4.2 Linear Transform Based Adaptation. ... criterion (2.20) with 1/0 loss deûned in (2.21). • Word-level loss: his loss function is directly related to the expected word error rate.
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