The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis
Paper reports the neural network tests on ability of recognition and categorising the nonfluent and fluent utterance records. 40 of 4-second fragments containing the blockade before words starting with stop consonants (p, b, t, d, k and g) and including from 1 to 11 stop consonant repetitions and...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2014-01-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1344 |
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| author | Izabela Szczurowska W. Kuniszyk-Jóźkowiak E. Smołka |
| author_facet | Izabela Szczurowska W. Kuniszyk-Jóźkowiak E. Smołka |
| author_sort | Izabela Szczurowska |
| collection | DOAJ |
| description | Paper reports the neural network tests on ability of recognition and categorising the nonfluent
and fluent utterance records. 40 of 4-second fragments containing the blockade before
words starting with stop consonants (p, b, t, d, k and g) and including from 1 to 11 stop consonant
repetitions and 40 recordings of the speech of the fluent speakers containing the same
fragments were applied. Two various networks were examined. The first, Self Organizing
Map (Kohonen network), with 21 inputs and 25 neurons in output layer, was used to reduce
the dimension describing the input signals. As a result of the analysis we achieved vectors
consisting of the neurons winning in a particular time point. Those vectors were taken as an
input for the next network that was Multilayer Perceptron. Its various types: with one and two
hidden layers, different kinds and time of learning were examined. |
| format | Article |
| id | doaj-art-4b1f41b10ea8442fbc71799227d835f5 |
| institution | Kabale University |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-4b1f41b10ea8442fbc71799227d835f52025-08-20T03:50:48ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2014-01-01314(S)The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysisIzabela Szczurowska0W. Kuniszyk-Jóźkowiak1E. Smołka2Agricultural University of Lublin, Faculty of Agricultural Engineering, Department of Physics, Akademicka 13, 20-950 LublinMaria Curie-Skłodowska University, Institute of Informatics, Laboratory of Biocybernetics, Pl. Maria Curie-Skłodowska 1, 20-031 LublinMaria Curie-Skłodowska University, Institute of Informatics, Laboratory of Biocybernetics, Pl. Maria Curie-Skłodowska 1, 20-031 LublinPaper reports the neural network tests on ability of recognition and categorising the nonfluent and fluent utterance records. 40 of 4-second fragments containing the blockade before words starting with stop consonants (p, b, t, d, k and g) and including from 1 to 11 stop consonant repetitions and 40 recordings of the speech of the fluent speakers containing the same fragments were applied. Two various networks were examined. The first, Self Organizing Map (Kohonen network), with 21 inputs and 25 neurons in output layer, was used to reduce the dimension describing the input signals. As a result of the analysis we achieved vectors consisting of the neurons winning in a particular time point. Those vectors were taken as an input for the next network that was Multilayer Perceptron. Its various types: with one and two hidden layers, different kinds and time of learning were examined.https://acoustics.ippt.pan.pl/index.php/aa/article/view/1344neural networksspeech disfluencyKohonen networkMultilayer Perceptron networkstuttering. |
| spellingShingle | Izabela Szczurowska W. Kuniszyk-Jóźkowiak E. Smołka The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis Archives of Acoustics neural networks speech disfluency Kohonen network Multilayer Perceptron network stuttering. |
| title | The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis |
| title_full | The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis |
| title_fullStr | The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis |
| title_full_unstemmed | The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis |
| title_short | The application of Kohonen and Multilayer Perceptron Networks in the speech nonfluency analysis |
| title_sort | application of kohonen and multilayer perceptron networks in the speech nonfluency analysis |
| topic | neural networks speech disfluency Kohonen network Multilayer Perceptron network stuttering. |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1344 |
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