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27 Jul 2020: An implementation is outlined and demonstrated on test sequences containing two motions.

27 Jul 2020: The paper also presents results on a new set of 60 queries with assessments for the TREC-6 test document data used for development purposes, and analyses the relationship between recognition

27 Jul 2020: Because the compensation is word-dependent, its application needs to be hypothesis-driven on the test material.

27 Jul 2020: It is found that, in most cases, the commonly-used cross-correlation does not perform as well as some other measures, such as the chi squared test or the sum of

27 Jul 2020: Here we address the problem of contaminations (e.g. occlusion, shadows) in test images which have not explicitly been encountered in training data.

27 Jul 2020: This allows successful adaptation on any amount of adaptation data. Tests on the RM1 database show that successful adaptation can be achieved with only 11 seconds of speech, and performance converges

27 Jul 2020: A comparison of test results show that it outperforms one of the best existing methods.

27 Jul 2020: MLLR can also be used in an iterative fashion to refine the transcriptions of the test data and adapt models based on the current transcriptions.

27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests.

27 Jul 2020: Front-end and language modelling experiments conducted using various training and test sets from both the Switchboard and Callhome English corpora are presented.

27 Jul 2020: of tests on the LOB corpus to yield very good tagging accuracies.

27 Jul 2020: In this paper, we present a technique to compensate for out-of-plane rotations, which we test using simulations and in vitro experiments.

27 Jul 2020: Both these schemes require no a-priori thresholding information. An initial evaluation of the techniques was performed using data from the ARPA 1994 test data.

27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the

27 Jul 2020: Results are presented for the 2001 development and evaluation test sets.

27 Jul 2020: Our system achieved a high correct identification rate of 97% on a freely available test set of 29 individuals and extreme illumination changes.

27 Jul 2020: Initial tests show that measurement errors, including image artifacts, are significant enough to obscure and distort diagnostically important information.

27 Jul 2020: The HTK system yielded the lowest error rates in both the H3-P0 and H3-C0 tests.

27 Jul 2020: Tests of Fukushima's original system and the novel systems proposed in this paper suggest that the neocognitron is unable to achieve the rformance of existing digit classifiers due to its

27 Jul 2020: The segmental intelligibility was measured using the Modified Rhyme Test, and a 5.0% error rate obtained.