Research on Speech Recognition Method in Multi Layer Perceptual Network Environment
| Autor: | Dan Wang, Kai Zhao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Zero-crossing rate
Computer science media_common.quotation_subject Framing (World Wide Web) Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Filter (signal processing) Transfer function Signal Perception Signal Processing Electrical and Electronic Engineering Energy (signal processing) media_common |
| Zdroj: | International Journal of Circuits, Systems and Signal Processing. 15:996-1004 |
| ISSN: | 1998-4464 |
| Popis: | Aiming at the problem of low recognition rate in speech recognition methods, a speech recognition method in multi-layer perceptual network environment is proposed. In the multi-layer perceptual network environment, the speech signal is processed in the filter by using the transfer function of the filter. According to the framing process, the speech signal is windowed and framing processed to remove the silence segment of the speech signal. At the same time, the average energy of the speech signal is calculated and the zero crossing rate is calculated to extract the characteristics of the speech signal. By analyzing the principle of speech signal recognition, the process of speech recognition is designed, and the speech recognition in multi-layer perceptual network environment is realized. The experimental results show that the speech recognition method designed in this paper has good speech recognition performance |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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