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In this paper a new application of the wavelet packet cosine transform (WPCT), used in the adaptive wavelet parameterization scheme, is presented. This is an extension of the best basis algorithm. Obtained optimized wavelet decomposition schemes are used for speech feature extraction and are tested using Polish language hidden Markov model (HMM) phone-classifier.
Nowadays robots can recognize their environment in a limited way. Future robots designed for operations in a natural environment and for communicating with humans in a natural way require the fusion of data acquired from spoken words and sensory data from the surrounding area. By means of intelligent sensors for speech recognition, proximity measurement, colour measurement and image processing an...
In this paper we simulate language acquisition by focussing on the emergence of derivation morphology. We assume that modeling the learning behavior of humans can help to enhance methods in language processing and retrieval. That is, when we understand how humans learn, we can design systems applying the same techniques in language processing. Children, acquiring the first language, observe the adults'...
Speech transmission quality measurement in cellular networks is a major indicator of performance for end-to-end quality of service standards. Many approaches have been proposed in the previous studies, but the results correlation with subjective experiments still need further optimization, especially for quality determination using languages with unique phonetic structures i.e. clicking sounds. Moreover,...
In addition to the well known linguistic alignment processes in dyadic communication - e.g., phonetic, syntactic, semantic alignment - we provide evidence for a genuine multimodal alignment process, namely semiotic alignment. Communicative elements from different modalities ldquoroutinize intordquo cross-modal ldquosuper-signsrdquo, which we call multimodal ensembles. Computational models of human...
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