1
Al-Turath University College, Baghdad, 10021, Iraq
(haider.mahmood@turath.edu.iq)
2
Department of Medical device technology Engineering, Al-Rafidain University College, Baghdad 10064, Iraq
(vian.kasim@ruc.edu.iq)
3
Department of Medical device technology Engineering, Alfarahidi University, Baghdad, Iraq
(hayder.sharif@Alfarahidiuc.edu.iq)
4
Department of computer engineering techniques, Mazaya University College, Thi Qar, Iraq
(wasfehameed1960@gmail.com)
5
Law Department, Al-Mustaqbal University College, 51001 Hilla, Babylon, Iraq
(rusul_sattar@ uomus.edu.iq)
Abstract :
To enhance the performance of Chinese language pronunciation evaluation and speech recognition systems, researchers are focusing on developing intelligent techniques for multilevel fusion processing of data, features, and decisions using deep learning-based computer-aided systems. With a combination of score level, rank level, and hybrid level fusion, as well as fusion optimization and fusion score improvement, these systems can effectively combine multiple models and sensors to improve the accuracy of information fusion. Additionally, intelligent systems for information fusion, including those used in robotics and decision-making, can benefit from techniques such as multimedia data fusion and machine learning for data fusion. Furthermore, optimization algorithms and fuzzy approaches can be applied to data fusion applications in cloud environments and e-systems, while spatial data fusion can be used to enhance the quality of image and feature data In this paper, a new approach has been presented to identify the tonal language in continuous speech. This study proposes the Machine learning-assisted automatic speech recognition framework (ML-ASRF) for Chinese character and language prediction. Our focus is on extracting highly robust features and combining various speech signal sequences of deep models. The experimental results demonstrated that the machine learning neural network recognition rate is considerably higher than that of the conventional speech recognition algorithm, which performs more accurate human-computer interaction and increases the efficiency of determining Chinese language pronunciation accuracy.
Keywords :
Automatic Speech Recognition; Machine Learning; Language detection; Language Pronunciation; Fusion processing.
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| Style | # |
|---|---|
| MLA | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader. "Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing." Fusion: Practice and Applications, Vol. 10, No. 1, 2023 ,PP. 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |
| APA | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader. (2023). Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing. Journal of Fusion: Practice and Applications, 10 ( 1 ), 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |
| Chicago | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader. "Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing." Journal of Fusion: Practice and Applications, 10 no. 1 (2023): 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |
| Harvard | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader. (2023). Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing. Journal of Fusion: Practice and Applications, 10 ( 1 ), 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |
| Vancouver | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader. Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing. Journal of Fusion: Practice and Applications, (2023); 10 ( 1 ): 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |
| IEEE | Hayder Mahmood Salman, Vian S. Al-Doori, Hayder sharif, Wasfi Hameed4, Rusul S. Bader, Accurate Recognition of Natural language Using Machine Learning and Feature Fusion Processing, Journal of Fusion: Practice and Applications, Vol. 10 , No. 1 , (2023) : 128-142 (Doi : https://doi.org/10.54216/FPA.100108) |