Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition
This article presents achieved results concerning an feature extraction in isolated speech recognition problem using the Pulse-Coupled Neural Network (PCNN) approach. PCNN based feature extraction is analyzed for a direct Pulse Coded Modulation (PCM) input and a Fast Fourier Transform (FFT) coeffici...
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| Format: | Article |
| Language: | English |
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University of Žilina
2006-09-01
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| Series: | Communications |
| Subjects: | |
| Online Access: | https://komunikacie.uniza.sk/artkey/csl-200603-0008_feature-extraction-using-pulse-coupled-neural-network-in-isolated-speech-recognition.php |
| _version_ | 1797847011674816512 |
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| author | Matus Jurecka |
| author_facet | Matus Jurecka |
| author_sort | Matus Jurecka |
| collection | DOAJ |
| description | This article presents achieved results concerning an feature extraction in isolated speech recognition problem using the Pulse-Coupled Neural Network (PCNN) approach. PCNN based feature extraction is analyzed for a direct Pulse Coded Modulation (PCM) input and a Fast Fourier Transform (FFT) coefficients input. |
| first_indexed | 2024-04-09T18:05:21Z |
| format | Article |
| id | doaj.art-2bffd4618ea542249706f65585fb5ee0 |
| institution | Directory Open Access Journal |
| issn | 1335-4205 2585-7878 |
| language | English |
| last_indexed | 2024-04-09T18:05:21Z |
| publishDate | 2006-09-01 |
| publisher | University of Žilina |
| record_format | Article |
| series | Communications |
| spelling | doaj.art-2bffd4618ea542249706f65585fb5ee02023-04-14T06:29:48ZengUniversity of ŽilinaCommunications1335-42052585-78782006-09-0183333610.26552/com.C.2006.3.33-36csl-200603-0008Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech RecognitionMatus Jurecka0Department of Technical Cybernetics, Faculty of Management Science and Informatics, University of Zilina, SlovakiaThis article presents achieved results concerning an feature extraction in isolated speech recognition problem using the Pulse-Coupled Neural Network (PCNN) approach. PCNN based feature extraction is analyzed for a direct Pulse Coded Modulation (PCM) input and a Fast Fourier Transform (FFT) coefficients input.https://komunikacie.uniza.sk/artkey/csl-200603-0008_feature-extraction-using-pulse-coupled-neural-network-in-isolated-speech-recognition.phpno keywords |
| spellingShingle | Matus Jurecka Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition Communications no keywords |
| title | Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition |
| title_full | Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition |
| title_fullStr | Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition |
| title_full_unstemmed | Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition |
| title_short | Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition |
| title_sort | feature extraction using pulse coupled neural network in isolated speech recognition |
| topic | no keywords |
| url | https://komunikacie.uniza.sk/artkey/csl-200603-0008_feature-extraction-using-pulse-coupled-neural-network-in-isolated-speech-recognition.php |
| work_keys_str_mv | AT matusjurecka featureextractionusingpulsecoupledneuralnetworkinisolatedspeechrecognition |