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ISCI
2008
129views more  ISCI 2008»
13 years 5 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
INFORMATICALT
2008
207views more  INFORMATICALT 2008»
13 years 5 months ago
Lithuanian Speech Recognition Using the English Recognizer
Abstract. The present work is concerned with speech recognition using a small or medium size vocabulary. The possibility to use the English speech recognizer for the recognition of...
Pijus Kasparaitis
INFORMATICALT
2008
137views more  INFORMATICALT 2008»
13 years 5 months ago
Acoustic Modelling for Croatian Speech Recognition and Synthesis
This paper presents the Croatian context-dependent acoustic modelling used in speech recognition and in speech synthesis. The proposed acoustic model is based on context-dependent ...
Sanda Martincic-Ipsic, Slobodan Ribaric, Ivo Ipsic
ACTAC
2006
94views more  ACTAC 2006»
13 years 5 months ago
A Hierarchical Evaluation Methodology in Speech Recognition
In speech recognition vast hypothesis spaces are generated, so the search methods used and their speedup techniques are both of great importance. One way of getting a speedup gain...
Gábor Gosztolya, András Kocsor
CSL
2010
Springer
13 years 5 months ago
Monaural speech separation and recognition challenge
Robust speech recognition in everyday conditions requires the solution to a number of challenging problems, not least the ability to handle multiple sound sources. The specific ca...
Martin Cooke, John R. Hershey, Steven J. Rennie
CSL
2010
Springer
13 years 5 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
ICASSP
2010
IEEE
13 years 5 months ago
Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
Afsaneh Asaei, Benjamin Picart, Hervé Bourl...
ICASSP
2010
IEEE
13 years 5 months ago
Information retrieval methods for automatic speech recognition
In this paper, we use information retrieval (IR) techniques to improve a speech recognition (ASR) system. The potential benefits include improved speed, accuracy, and scalability...
Xiaoqiang Xiao, Jasha Droppo, Alex Acero
ICASSP
2010
IEEE
13 years 5 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
IJCAI
1989
13 years 6 months ago
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...