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» Learning a language model from continuous speech
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INTERSPEECH
2010
14 years 4 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
JMLR
2012
13 years 6 days 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
AIA
2006
14 years 11 months ago
Computational Model of Speech Understanding
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
Daniel Nehme Müller, Philippe Olivier Alexand...
INTERSPEECH
2010
14 years 4 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
ICASSP
2011
IEEE
14 years 1 months ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero