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» Using quality measures for multilevel speaker recognition
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INTERSPEECH
2010
14 years 4 months ago
Performance estimation of noisy speech recognition considering recognition task complexity
To ensure a satisfactory QoE (Quality of Experience) and facilitate system design in speech recognition services, it is essential to establish a method that can be used to efficie...
Takeshi Yamada, Tomohiro Nakajima, Nobuhiko Kitawa...
ICASSP
2011
IEEE
14 years 1 months ago
OpenBliSSART: Design and evaluation of a research toolkit for Blind Source Separation in Audio Recognition Tasks
We describe and evaluate our toolkit openBliSSART (open-source Blind Source Separation for Audio Recognition Tasks), which is the C++ framework and toolbox that we have successful...
Felix Weninger, Alexander Lehmann, Björn Schu...
114
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CIARP
2010
Springer
14 years 8 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
LREC
2008
174views Education» more  LREC 2008»
14 years 11 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...
ICDAR
2003
IEEE
15 years 2 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...