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NOLISP
2007
Springer
16 years 4 days ago
A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines
This paper presents a hybrid technique combining the Karhonen-Loeve Transform (KLT), the Multilayer Perceptron (MLP) and Genetic Algorithms (GAs) to obtain less-variant Mel-freque...
Sid-Ahmed Selouani, Habib Hamam, Douglas D. O'Shau...
EJASMP
2011
14 years 9 months ago
Phoneme and Sentence-Level Ensembles for Speech Recognition
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
Christos Dimitrakakis, Samy Bengio
INFORMATICALT
2008
137views more  INFORMATICALT 2008»
15 years 6 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
ICASSP
2010
IEEE
15 years 6 months ago
Optimizing spectral subtraction and wiener filtering for robust speech recognition in reverberant and noisy conditions
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...
Randy Gomez, Tatsuya Kawahara
ICASSP
2009
IEEE
16 years 23 days ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo