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Recent advances in the performance of automatic speech recognition (ASR) systems now make it possible to automatically derive semantic content from raw speech audio.
The performance of automatic segmentation in TLE has so far been considered unsatisfactory.
The paper discusses the importance of field tests in evaluating the performance of automatic traps.
The performance of automatic fingerprint identification system relies heavily on the quality of fingerprint images.
The performance of automatic speech recognition (ASR) systems and subword-based pronunciation verification (PV) on this domain are also presented.
It therefore represents a relevant case to test the performance of automatic tools for image recognition to store, classify, and finally make available such a considerable amount of data on the IDRP.
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The first application concerns the automatic generation of totally synthetic signature specimens for the training and evaluation of verification performances of automatic signature recognition systems.
The advantage of Sysmex XN system is its performance of an automatic reflex test in white cell precursor (WPC) channel, which gives an accurate differential count.
Moreover, a score was calculated using the activity data of successful recognition and it provided sufficient estimation for the performance level of automatic correction.
In this paper, a comprehensive performance evaluation of Automatic Repeat Request (ARQ), Forward Error Correction (FEC), Erasure Coding (EC), link-layer hybrid FEC/ARQ, and cross-layer hybrid error control schemes over Wireless Multimedia Sensor Network (WMSNs) is performed.
We confirmed the expected behavior of the AVFs using the environments described in subsection Performance evaluation of automatic verification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com