Bag-of-Words Modelling for Speech Recognition
Bartosz Ziolko; Suresh Manandhar; Richard C. Wilson;
Bag-of-Words Modelling for Speech Recognition
A semantic language modelling method for speech recognition is presented. The method is somehow similar to latent semantic analysis, but it does not need so much memory and training data. Even though it gave better experimental results, provided as percentage of correctly recognized sentences from a corpus. It differentiate from latent semantic analysis by a choice of similar topics influencing a matrix describing probability of words appearing in topics.
- Jagiellonian University Poland
- AGH University of Science and Technology Poland
- University of York United Kingdom
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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