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https://www.um.edu.mt/library/oar/handle/123456789/17886| Title: | Neural network architectures for speaker independent phoneme recognition |
| Authors: | Cutajar, Michelle Gatt, Edward Grech, Ivan Casha, Owen Micallef, Joseph |
| Keywords: | Radial basis functions Signal processing Wavelets (Mathematics) Self-organizing maps Neural networks (Computer science) |
| Issue Date: | 2011 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Cutajar, M., Gatt, E., Grech, I., Casha, O., & Micallef, J. (2011). Neural network architectures for speaker independent phoneme recognition. 7th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik. 90-94. |
| Abstract: | Two different neural network architectures were designed for speaker independent phoneme recognition systems. The first architecture consists of the Radial Basis Function (RBF), while in the second architecture a Self-Organising Maps (SOM) neural network replaces the RBF. The Discrete Wavelet Transform (DWT) is used for feature extraction in both systems. Both systems were tested on the TIMIT database. The highest recognition rates obtained are 36.3% and 46.7%, for the RBF and SOM architectures respectively for multi-speaker unlimited vocabulary speech. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/17886 |
| ISBN: | 9789531841597 |
| Appears in Collections: | Scholarly Works - FacICTMN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Neural network architectures for speaker independent phoneme recognition.pdf Restricted Access | Neural network architectures for speaker independent phoneme recognition | 204.66 kB | Adobe PDF | View/Open Request a copy |
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