Big Data-based Natural Language Processing and Speech Recognition System
Keywords:
Big Data；Natural Language Processing (NLP)；Speech Recognition；Deep Learning；AdaptabilityAbstract
The aim of this paper is to build a big data based natural language processing (NLP) and speech recognition system to meet the increasing demand for text and speech data processing. This system integrates big data technologies and advanced deep learning algorithms to improve the accuracy of text understanding, speech recognition, and has multilingual and multi-accent adaptability. Key features include efficient processing of large-scale data, application of deep learning in NLP and speech recognition, multi-language and multi-accent processing capabilities, and user privacy and data security considerations. With these innovative features, the system aims to provide a high-performance, high-accuracy solution for processing large amounts of text and speech data in the real world, advancing the field of natural language processing and speech recognition.
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*******************Cite this Article*******************
APA:
Wang, X., Zheng, J., & Dong, Q. (2024). Big data-based natural language processing and speech recognition system. International Scientific Technical and Economic Research, 2(1), 47–51. http://www.istaer.online/index.php/Home/article/view/No.2404
GB/T 7714-2015:
Wang Xuye, Zheng Jiahao, Dong Qihao. Big data-based natural language processing and speech recognition system[J]. International Scientific Technical and Economic Research, 2024, 2(1): 47–51. http://www.istaer.online/index.php/Home/article/view/No.2404
MLA:
Wang, Xuye, Jiahao Zheng, and Qihao Dong. "Big data-based natural language processing and speech recognition system." International Scientific Technical and Economic Research, 2.1 (2024): 47-51. http://www.istaer.online/index.php/Home/article/view/No.2404
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