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Children who start formal education in a second language may experience slower vocabulary growth in that language and subsequently experience disadvantages in literacy acquisition. The current study ...
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lateen EM alternates bet...
To investigate the neural underpinnings of word decoding, and how it changes as a function of repeated exposure, we trained Dutch participants repeatedly over the course of a month of training to arti...
Although the high-variability training method can enhance learning of non-native speech categories, this can depend on individuals’ aptitude. The current study asked how general the effects of percept...
Recent empirical evidence suggests that language-mediated eye gaze is partly determined by level of formal literacy training. Huettig, Singh and Mishra (2011) showed that highliterate individuals' eye...
Many learners of a foreign language (L2) struggle to correctly pronounce newly learned speech sounds, yet many others achieve this with apparent ease. Here we explored how a training study of learning...
Recognising continuous speech in a second language is often unexpectedly difficult, as the operation of segmenting speech is so attuned to native-language structure. We report the initial steps in dev...
Keyword-based Discriminative Training of Acoustic Models.
EM Training of Finite-State Transducers and Its Application to Pronunciation Modeling.
Baum-Welch Training for Segment-Based Speech Recognition.
A comparison of normalization and training approaches for ASR-dependent speaker identification.
Minimum classification error training of landmark models for real-time continuous speech recognition.
Speech utterance classification has been widely applied to a variety of spoken language understanding tasks, including call routing, dialog systems, and command and control. Most speech utterance ...
Detection of Non-native Sentences using Machine-translated Training Data.
Generalization of Extended Baum-Welch Parameter Estimation for Discriminative Training and Decoding.

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