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» Speech enhancement using a pitch predictive model
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CVPR
2012
IEEE
13 years 3 days ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
INFORMATICALT
2008
122views more  INFORMATICALT 2008»
14 years 9 months ago
Modeling Phone Duration of Lithuanian by Classification and Regression Trees, using Very Large Speech Corpus
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Giedrius Norkevicius, Gailius Raskinis
ICASSP
2011
IEEE
14 years 1 months ago
Speech enhancement with masking properties in eigen-domain for colored noise
In this paper, we study speech enhancement in eigen-domain. In our previous work on audible noise reduction, we use masking properties of the human auditory system to define the ...
Chang Huai You, Kong-Aik Lee, Cheung Chi Leung
TASLP
2008
133views more  TASLP 2008»
14 years 8 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
90
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INTERSPEECH
2010
14 years 4 months ago
Binary coding of speech spectrograms using a deep auto-encoder
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, ...