A Comparitive Survey of ANN and Hybrid HMM/ANN Architectures for Robust Speech Recognition
نویسندگان
چکیده
منابع مشابه
A Comparitive Survey of ANN and Hybrid HMM/ANN Architectures for Robust Speech Recognition
This paper proposes two hybrid connectionist structural acoustical models for robust context independent phone like and word like units for speaker-independent recognition system. Such structure combines strength of Hidden Markov Models (HMM) in modeling stochastic sequences and the non-linear classification capability of Artificial Neural Networks (ANN). Two kinds of Neural Networks (NN) are i...
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In spite of the advances accomplished throughout the last decades, automatic speech recognition (ASR) is still a challenging and di$cult task. In particular, recognition systems based on hidden Markov models (HMMs) are e!ective under many circumstances, but do su!er from some major limitations that limit applicability of ASR technology in real-world environments. Attempts were made to overcome ...
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ژورنال
عنوان ژورنال: American Journal of Intelligent Systems
سال: 2012
ISSN: 2165-8978
DOI: 10.5923/j.ajis.20120201.01