Abstract In this talk, I’ll present an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating n-gram, structured language model and probabilistic latent semantic analysis under a directed[…]
Abstract Natural language processing (NLP) has been dominated by statistical based data driven approaches. The massive amount of data available, especially those from the Web, have further fueled the progress in this area. In the[…]
Abstract Most of the approaches to increase the robustness of a speech recognition system in bad acoustic conditions can be classified in two categories. The methods of the first class are based on an extraction[…]
View Seminar Video Abstract Intelligent perceptual tasks such as vision and audition require the construction of good internal representations. Theoretical and empirical evidence suggests that the perceptual world is best represented by a multi-stage hierarchy[…]
Abstract In this talk, I will be sharing my (and my team’s) research journey of building summarization engines to produce various flavors of summaries. Starting from single document summarization, our experience of building multi-document summarization[…]
Abstract There is a great deal yet to be understood about the systematic ways in which speech varies due to coarticulation, speech style and differences in the articulatory strategies that exists across speakers. Further, we[…]
Abstract Acoustic segmental modeling (ASM) is an extension of frame-based vector quantization (VQ) to establish a common set of segment-based fundamental speech units to characterize the acoustic universe. ASM has been applied to speech recognition[…]
