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» Discriminative n-gram language modeling
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INTERSPEECH
2010
14 years 6 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
EMNLP
2006
15 years 1 months ago
Discriminative Methods for Transliteration
We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods d...
Dmitry Zelenko, Chinatsu Aone
EMNLP
2006
15 years 1 months ago
Corrective Models for Speech Recognition of Inflected Languages
This paper presents a corrective model for speech recognition of inflected languages. The model, based on a discriminative framework, incorporates word ngrams features as well as ...
Izhak Shafran, Keith Hall
SIGIR
2010
ACM
15 years 3 months ago
Discriminative models of integrating document evidence and document-candidate associations for expert search
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
Yi Fang, Luo Si, Aditya P. Mathur
ICASSP
2008
IEEE
15 years 6 months ago
A covariance kernel for SVM language recognition
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...
William M. Campbell