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» Relevance language modeling for speech recognition
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ICASSP
2011
IEEE
14 years 5 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
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ICASSP
2011
IEEE
14 years 5 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
ACL
1998
15 years 2 months ago
Trigger-Pair Predictors in Parsing and Tagging
In this article, we apply to natural language parsing and tagging the device of triggerpair predictors, previously employed exclusively within the field of language modelling for ...
Ezra Black, Andrew M. Finch, Hideki Kashioka
JMLR
2012
13 years 3 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
MM
2006
ACM
151views Multimedia» more  MM 2006»
15 years 7 months ago
News video search with fuzzy event clustering using high-level features
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...
Shi-Yong Neo, Yantao Zheng, Tat-Seng Chua, Qi Tian