발간년도 : [2019]
| 논문정보 |
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| 논문명(한글) |
[Vol.14, No.4] A Study on the Spoken Language Processing Technology Based on Big Data |
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| 논문투고자 |
Jin-Kwan Cho |
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| 논문내용 |
Among the age of multiple information processing with smart device, many users feel each information and comfortable life through their smart device and computer so on. The area of language processing about multiple information make an automatically recognition and processing by computer with human language, and study their algorithm. In addition, it provides a several of application services such as siri, speech conversation system. Especially, language processing technology offer to valuable service in big data environment, and necessary to essential technology to processing big speech and text information. Moreover, big data-based application system become main resource that make a good performance using language processing technology by huge data. Moreover, our research provide web/app environment-based speech collaboration, big data-based both speech signal processing, and speech collaboration algorithm. Big data-based both speech signal processing and speech algorithm carry out by transaction procedure organically. By the transaction procedure, we had an experiment with Trek user speech data using RLS and SNR algorithm for big data-based language processing. Accordingly, in this paper, we propose big data-based information processing with many pre-research in order to improve a capability of the information processing technology using big data. |
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