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» Large-Vocabulary Speech Recognition Algorithms
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SIGIR
2006
ACM
15 years 3 months ago
Spoken document retrieval from call-center conversations
We are interested in retrieving information from conversational speech corpora, such as call-center data. This data comprises spontaneous speech conversations with low recording q...
Jonathan Mamou, David Carmel, Ron Hoory
TASLP
2010
122views more  TASLP 2010»
14 years 4 months ago
Error Approximation and Minimum Phone Error Acoustic Model Estimation
Minimum phone error (MPE) acoustic parameter estimation involves calculation of edit distances (errors) between correct and incorrect hypotheses. In the context of large vocabulary...
Matt Gibson 0002, Thomas Hain
CSL
2007
Springer
14 years 9 months ago
Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins
EMNLP
2006
14 years 10 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
ICML
2008
IEEE
15 years 10 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...