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Language comprehension involves activating word meanings and integrating them with the sentence context. This study examined whether these routines are carried out even when they are theoretically unn...
Context-dependent Probabilistic Hierarchical Sub-lexical Modelling Using Finite State Transducers.
Multi-level Context-dependent Acoustic Modeling for Automatic Speech Recognition.
Evaluation of Multi-level Context-Dependent Acoustic Model for Large Vocabulary Speaker Adaptation Tasks.
A Computer-Assisted Pronunciation Training (CAPT) system can provide greater benefit to language learners if it provides not only scoring but also corrective feedback. However, the process of deriving...
In this paper, we investigate the ability of a recently proposed discriminatively trained, multi-level context-dependent acoustic model to adapt to a new speaker in both supervised and unsupervised ad...
Context-dependent Pronunciation Error Pattern Discovery with Limited Annotations.
Keyword weighting plays an important role in traditional keyword spotting (KWS) systems: it helps detect keyword candidates in an utterance so that they will not be missed. However, if the keywords ar...
This paper describes the new framework of context-dependent(CD) Initial/Final (IF) acoustic modeling using the decision tree based state tying for continuous Chinese speech recognition. The Extended I...
The pronunciation variability is an important issue that must be faced with when developing practical automatic spontaneous sp eech recognition systems. By studying the initial/final (IF) characterist...

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