engleski

A Devide for Speech Recognition Based on the Speaker-independent Speech Recognition Algorithm

In the first part the paper examines an acoustic-phonetic, approach to speech recognition with elements of artificial intelligence. The vowels of the Croatian language are assumed as examples of speech segments. Frequency transformation has been realized by passing the speech segments through the corresponding selective filter banks. It has been shown that on the outputs of this filter bank the significantly comparable speaker-independent signals can be obtained when the filter resonant frequencies are multiplied by the appropriate speaker-dependent number. The second part of the paper presents a block diagram of the speech recognition device, with SC filters in the role of the filter bank, the neural network, and the signal processor. A procedure for determining the weighting factors of the neural network is examined at the end.

human computer interaction; speech recognition; artificial intelligence; neural network

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