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» Recognition Performance of a Structured Language Model
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ICASSP
2011
IEEE
14 years 5 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ICASSP
2008
IEEE
15 years 7 months ago
Improved GMM-based language recognition using constrained MLLR transforms
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
Wade Shen, Douglas A. Reynolds
ICASSP
2009
IEEE
15 years 8 months ago
Leveraging multiple query logs to improve language models for spoken query recognition
A voice search system requires a speech interface that can correctly recognize spoken queries uttered by users. The recognition performance strongly relies on a robust language mo...
Xiao Li, Patrick Nguyen, Geoffrey Zweig, Dan Bohus
ICASSP
2011
IEEE
14 years 5 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
ICASSP
2010
IEEE
15 years 1 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör