Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/17794| Title: | Phoneme recognition using neural networks |
| Authors: | Vassallo, Denise Gatt, Edward |
| Keywords: | Automatic speech recognition Neural networks (Computer science) Wavelets (Mathematics) Loudspeakers |
| Issue Date: | 2008 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Vassallo, D., & Gatt, E. (2008). Phoneme recognition using neural networks. 15th IEEE International Conference on Electronics, Circuits and Systems, St. Julians. 506-509. |
| Abstract: | A phoneme recognition system using an anti-symmetric multi-stage filter bank structure is presented. In a filter bank the input signal is convolved with digital filters having different cut-off frequencies so that the signal is analysed at different frequencies with different resolutions. The percentage energy content in each signal decomposition level is calculated and used as input to the Artificial Neural Network for phoneme recognition. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/17794 |
| Appears in Collections: | Scholarly Works - FacICTMN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Phoneme recognition using neural networks.pdf Restricted Access | Phoneme recognition using neural networks | 207.5 kB | Adobe PDF | View/Open Request a copy |
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