Real-Time Speech Recognition Using Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0840-8_35
Reference8 articles.
1. Dawodi, M., Baktash, J.A., Tomohisa, W., Najwa, A., Mohammad, Z.J.: Dari speech classification using deep convolutional neural network. In: IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1–4. IEEE, Canada (2020)
2. Tandel, N., Kumar, H., Prajapati, Dabhi, V.: Voice recognition and voice comparison using machine learning techniques: a survey. In: 6th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 459–465. IEEE, India (2020)
3. Dovbysh, A., Alieksieiev, V.: Development and integration of SR tools into software applications and an approach to improve of SR quality. In: 15th International Conference on Advance Trends Radioelectronics, Telecommunications and Computer Engineering (TCSET), pp. 614–617. Ukraine (2020)
4. Toruk, M.M., Gokay, R.: Short utterance speaker recognition using time-delay neural network. In: 16th International Multi-Conference on Systems, Signals and Devices (SSD), pp. 383–386. IEEE, Istanbul (2019)
5. Wang, J., Han, Z.: Research on speech emotion recognition technology based on deep and shallow neural network. In: Chinese Control Conference (CCC), pp. 3555–3558. IEEE, China (2019)
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