This work extends and improves a recently introduced (Dec. 2007) dynamic Bayesian network (DBN) based audio-visual automatic speech recognition (AVASR) system. That system models ...
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Acquisition of prosody, in addition to vocabulary and grammar, is essential for language learners. However, it has received less attention in instruction. To enable automatic iden...
This paper presents the Part Of Speech tagger and Chunker for Tamil using Machine learning techniques. Part Of Speech tagging and chunking are the fundamental processing steps for...
V. Dhanalakshmi, P. Padmavathy, M. Anand Kumar, K....