Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition
نویسندگان
چکیده
منابع مشابه
Deep-hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition
We have proposed Hidden Conditional Neural Fields (HCNF) for automatic speech recognition and shown the effectiveness by continuous phoneme recognition experiments on the TIMIT and the Japanese ASJ+JNAS corpora. In this paper, we propose to use an observation function with a deep structure in HCNF. The proposed deep observation function enables to use the deep neural networks in HCNF, which hav...
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In this paper, we propose Hidden Conditional Neural Fields (HCNF) for continuous phoneme speech recognition, which are a combination of Hidden Conditional Random Fields (HCRF) and a MultiLayer Perceptron (MLP), and inherit their merits, namely, the discriminative property for sequences from HCRF and the ability to extract non-linear features from an MLP. HCNF can incorporate many types of featu...
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Acoustic modelling based on Hidden Markov Models (HMMs) is employed by state-ofthe-art stochastic speech recognition systems. Although HMMs are a natural choice to warp the time axis and model the temporal phenomena in the speech signal, they do not model the spectral phenomena well. This is a consequence of their conditionally independent properties, which are inadequate for sequential process...
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We present a context-dependent, phoneme and function word based, Hidden Control Neural Network (HCNNCDF) architecture for continuous speech recognition. The system can be seen as a large vocabulary extension of the wordbased HCNN system proposed by Levin in 1990. Initially, we analysed context-/ndependent HCNN modeling principle in the framework of the Linked Predictive Neural Network (LPNN) sp...
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We present a context-dependent, phoneme and function word based, Hidden Control Neural Network (HCNNCDF) architecture for continuous speech recognition. The system can be seen as a large vocabulary extension of the wordbased HCNN system proposed by Levin in 1990. Initially, we analysed context-/ndependent HCNN modeling principle in the framework of the Linked Predictive Neural Network (LPNN) sp...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2012
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e95.d.2094