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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Donham, C. van der Spiegel, J. Mueller, P. Walton, Z. |
| Copyright Year | 1995 |
| Description | Author affiliation: Center for Sensor Technol., Pennsylvania Univ., Philadelphia, PA, USA (Donham, C.; van der Spiegel, J.) |
| Abstract | The majority of neural network based speech recognition models currently employed are simulated on digital computers. While appropriate for the laboratory environment, low cost digital computers do not have the computational power required to simulate neural network recognition systems in real time. Speech recognition models based on neural networks can be realized in analog hardware where circuits can be made that operate in real-time. This paper presents results from an on-going project to implement a speech recognition system on a general purpose analog neurocomputer. In particular, the input stages of the recognition system are presented. These stages consist of analog band-pass filters and feature detectors for energy onset, offset, motion, pause, and duration. |
| Starting Page | 1289 |
| Ending Page | 1292 |
| File Size | 440409 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780325702 |
| DOI | 10.1109/ISCAS.1995.520381 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-04-30 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Neural networks Speech recognition Computer networks Power system modeling Computational modeling Circuit simulation Computer simulation Costs Real time systems |
| Content Type | Text |
| Resource Type | Article |
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