A Historically Perspective of Speaker-independent Speech Recognition in Romanian Language
نویسندگان
چکیده
In this paper we present our teamwork main results in the area of the automatic speech recognition and understanding in Romanian language using hidden Markov models (HMM), artificial neural networks (multilayer perceptron, support vector machines, Kohonen networks) and hybrid models (fuzzy HMM, fuzzy multilayer perceptron, HMM/multilayer perceptron) for different small Romanian language corpora. We have started from vowel and isolated word recognition and reached to automatic continuous speech recognition and understanding pursuing two important aspects: acoustical modeling and language modeling.
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