On speech recognition access control system based on HMM/ANN
| Autor: | Hu Tie-sen, Wang Dongxia, Zou De-jun, Li Bo |
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| Rok vydání: | 2010 |
| Předmět: |
Voice activity detection
Artificial neural network Computer science business.industry Speech recognition Process (computing) Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Pattern recognition Access control ComputingMethodologies_PATTERNRECOGNITION Computer Science::Sound Software design Artificial intelligence Hidden Markov model business Hybrid model Digital signal processing |
| Zdroj: | 2010 3rd International Conference on Computer Science and Information Technology. |
| Popis: | In order to improve the recognition rate and practicability of the existing speech access control system, a method of HMM/ANN hybrid model was presented. By the analysis on the principle of speech recognition system, a speech access control system was designed by using DSP as the hardware platform. The working principle and the software design process of the system were described. In the training stage, the system filtered out one from N-group user models closest to the current composition and then optimized HMM adaptively. Afterwards, the system carried on the speech recognition with ANN and gave the final result. Through the system simulation, the experimental result shows that the system has a higher speech recognition rate by the selection-confirmation algorithm. Therefore, it is a novel way by which the security of the system can be effectively guaranteed that applying HMM/ANN hybrid model to the speech access control system. |
| Databáze: | OpenAIRE |
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