Kohonen networks application in speech analysis algorithms

Kohonen networks application in speech analysis algorithms

This article presents the Kohonen network application in the speech analysis. The Authors have modified the traditional Kohonen network learning process like weights initialization, neurons reduction and neurons sorting. The results will be presented using authors’ program – “WaveBlaster”.

Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis

The paper presents two methods offering flexible solutions to cluster-analysis problems. The first one employs a genetic-algorithmbased Travelling-Salesman-Problem-solution, and the second one selforganizing Kohonen networks. The operation of both techniques has been illustrated with the use of synthetic data set and then they have been tested and compared by means of real-life multidimensional...

Speech syllabic structure extraction with application of Kohonen network

Kohonen network was applied in the analysis of fluent and non-fluent utterances of any length. The input vector consisted of sound level values measured in dB(A) in 1/3-octave bands. Fragments of stuttering people’s and fluent speakers’ utterances were analysed. The optimum neural network was chosen of a 5×5 rectangle topology. Time arrangement of winner neurons in the network extracts single d...

Visual synthesis of source acoustic speech through kohonen neural networks

The objective of bimodal (audio-video) synthesis of acoustic speech has been addressed through the use of Kohonen neural architectures encharged of associating acoustic input parameters (cepstrum coe cients) to articulatory estimates. This association is done in real-time allowing the synchronized presentation of source acoustic speech together with coherent articulatory visualization. Di erent...

Kohonen Maps and TS Algorithms