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ICASSP
2010
IEEE
14 years 9 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
NAACL
2007
14 years 11 months ago
On using Articulatory Features for Discriminative Speaker Adaptation
This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Ar...
Florian Metze
ICASSP
2008
IEEE
15 years 3 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
HCI
2009
14 years 7 months ago
Speech Input from Older Users in Smart Environments: Challenges and Perspectives
Abstract. Although older people are an important user group for smart environments, there has been relatively little work on adapting natural language interfaces to their requireme...
Ravichander Vipperla, Maria Wolters, Kallirroi Geo...
LREC
2008
118views Education» more  LREC 2008»
14 years 11 months ago
Evaluation of several Maximum Likelihood Linear Regression Variants for Language Adaptation
Multilingual Automatic Speech Recognition (ASR) systems are of great interest in multilingual environments. We studied the case of the Comunitat Valenciana where the two official ...
Míriam Luján-Mares, Carlos D. Mart&i...