Search Results - "Gales, M"

Towards automatic assessment of spontaneous spoken English by Wang, Y., Gales, M.J.F., Knill, K.M., Kyriakopoulos, K., Malinin, A., van Dalen, R.C., Rashid, M.

“…With increasing global demand for learning English as a second language, there has been considerable interest in methods of automatic assessment of spoken…”
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Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks by Kastanos, A., Ragni, A., Gales, M. J. F.

“…Recently, there has been growth in providers of speech transcription services enabling others to leverage technology they would not normally be able to use. As…”
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Environmentally robust ASR front-end for deep neural network acoustic models by Yoshioka, T., Gales, M.J.F.

“…•Effects of various front-end schemes are examined using DNN acoustic models.•Meeting transcription experiments are conducted using a single distant…”
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Efficient lattice rescoring using recurrent neural network language models by Liu, X., Wang, Y., Chen, X., Gales, M. J. F., Woodland, P. C.

“…Recurrent neural network language models (RNNLM) have become an increasingly popular choice for state-of-the-art speech recognition systems due to their…”
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Recurrent neural network language model training with noise contrastive estimation for speech recognition by Chen, X., Liu, X., Gales, M. J. F., Woodland, P. C.

“…In recent years recurrent neural network language models (RNNLMs) have been successfully applied to a range of tasks including speech recognition. However, an…”
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Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation by Li, Q., Ness, P. M., Ragni, A., Gales, M. J. F.

“…The standard approach to mitigate errors made by an automatic speech recognition system is to use confidence scores associated with each predicted word. In the…”
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Convergent and environmentally associated chromatic polymorphism in Bryconops Kner, 1858 (Ostariophysi: Characiformes: Iguanodectidae) by Gonçalves, Andressa S, Netto-Ferreira, André L, Saldanha, Samantha C, Rocha, Ana C G, Gales, Suellen M, Silva, Derlan J F, Carvalho, Daniel C, Sales, João B L, Burlamaqui, Tibério C T, Ready, Jonathan S

“…Bryconops Kner, 1858, includes two well defined subgenera based on morphological evidence, with each containing at least one species (B. (Bryconops)…”
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Ensemble Distillation Approaches for Grammatical Error Correction by Fathullah, Y., Gales, M.J.F., Malinin, A.

“…Ensemble approaches are commonly used techniques to improving a system by combining multiple model predictions. Additionally these schemes allow the…”
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Noisy Constrained Maximum-Likelihood Linear Regression for Noise-Robust Speech Recognition by Kim, D K, Gales, M J F

“…Adaptive training is a widely used technique for building speech recognition systems on nonhomogeneous training data. Recently, there has been interest in…”
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THE CASE FOR COLLECTING, ANALYSING AND UTILISING SEXDISAGGREGATED DATA AND GENDERED DATA TO INFORM OUTBREAK RESPONSES, A SYSTEMATIC REVIEW OF THE LITERATURE FROM 2012-2022 by Gales, M., Phillips, E. Yonally, Heidari, S., Pao, L. Zilversmit, Degail, M.-A., Dubray, C., Meudec, M., Ribas, C. Rodriguez, Siddiqui, M.R., Carter, S.

“…Intro: Understanding sex-related differences and gendered roles in outbreak dynamics is critical to deliver an effective response. Despite existing…”
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Cardiovascular and Limb Events Following Endovascular Revascularization Among Patients ≥65 Years Old: An American College of Cardiology PVI Registry Analysis by Weissler, E Hope, Wang, Yongfei, Gales, Jordan M, Feldman, Dmitriy N, Arya, Shipra, Secemsky, Eric A, Aronow, Herbert D, Hawkins, Beau M, Gutierrez, J Antonio, Patel, Manesh R, Curtis, Jeptha P, Jones, W Schuyler, Swaminathan, Rajesh V

“…Background We aimed to characterize the occurrence of major adverse cardiovascular and limb events (MACE and MALE) among patients with peripheral artery…”
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The Role of Histopathologic Subtype in the Setting of Hippocampal Sclerosis-Associated Mesial Temporal Lobe Epilepsy by Gales, Jordan M., BS, Jehi, Lara, MD, Nowacki, Amy, PhD, Prayson, Richard A., MD MEd

“…Summary Hippocampal sclerosis (HS) and focal cortical dysplasia (FCD) are among the most common neuropathological findings in those undergoing surgery for…”
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Maximum likelihood linear transformations for HMM-based speech recognition by Gales, M.J.F.

“…This paper examines the application of linear transformations for speaker and environmental adaptation in an HMM-based speech recognition system. In…”
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Issues with uncertainty decoding for noise robust automatic speech recognition by Liao, H., Gales, M.J.F.

“…Interest continues in a class of robustness algorithms for speech recognition that exploit the notion of uncertainty introduced by environmental noise. These…”
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Unicode-based graphemic systems for limited resource languages by Gales, M. J. F., Knill, K. M., Ragni, A.

“…Large vocabulary continuous speech recognition systems require a mapping from words, or tokens, into sub-word units to enable robust estimation of acoustic…”
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Discriminative classifiers with adaptive kernels for noise robust speech recognition by Gales, M.J.F., Flego, F.

“…Discriminative classifiers are a popular approach to solving classification problems. However, one of the problems with these approaches, in particular kernel…”
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PHONETIC AND GRAPHEMIC SYSTEMS FOR MULTI-GENRE BROADCAST TRANSCRIPTION by Wang, Y., Chen, X., Gales, M. J. F., Ragni, A., Wong, J. H. M.

“…State-of-the-art English automatic speech recognition systems typically use phonetic rather than graphemic lexicons. Graphemic systems are known to perform…”
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CUED-RNNLM - An open-source toolkit for efficient training and evaluation of recurrent neural network language models by Chen, X., Liu, X., Qian, Y., Gales, M. J. F., Woodland, P. C.

“…In recent years, recurrent neural network language models (RNNLMs) have become increasingly popular for a range of applications including speech recognition…”
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Paraphrastic language models by Liu, X., Gales, M.J.F., Woodland, P.C.

“…•Paraphrastic language models proposed.•Statistical paraphrase learning from standard texts.•Improved LM context coverage and generalization…”
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Improving the training and evaluation efficiency of recurrent neural network language models by Chen, X., Liu, X., Gales, M. J. F., Woodland, P. C.

“…Recurrent neural network language models (RNNLMs) are becoming increasingly popular for speech recognition. Previously, we have shown that RNNLMs with a full…”
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