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Comparative Analysis of Speech Recognition Open API Error Rate

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 10 Number 2 (2021.06)바로가기
  • 페이지
    pp.79-85
  • 저자
    Juyoung Kim, Dai Yeol Yun, Oh Seok Kwon, Seok-Jae Moon, Chi-gon Hwang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A397189

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원문정보

초록

영어
Speech recognition technology refers to a technology in which a computer interprets the speech language spoken by a person and converts the contents into text data. This technology has recently been combined with artificial intelligence and has been used in various fields such as smartphones, set-top boxes, and smart TVs. Examples include Google Assistant, Google Home, Samsung's Bixby, Apple's Siri and SK's NUGU. Google and Daum Kakao offer free open APIs for speech recognition technologies. This paper selects three APIs that are free to use by ordinary users, and compares each recognition rate according to the three types. First, the recognition rate of "numbers" and secondly, the recognition rate of "Ga Na Da Hangul" are conducted, and finally, the experiment is conducted with the complete sentence that the author uses the most. All experiments use real voice as input through a computer microphone. Through the three experiments and results, we hope that the general public will be able to identify differences in recognition rates according to the applications currently available, helping to select APIs suitable for specific application purposes.

목차

Abstract
1. Introduction
2. Related Works
2.1 Speech recognition technology
2.2 Speech Recognition Offline Processing Module
2.3 Speech Recognition Online Processing Module
3. Experiment and evaluation
4. Conclusion
References

키워드

Open API Speech Recognition Technology Recognition Rate Artificial Intelligence

저자

  • Juyoung Kim [ Graduate Student, Graduate School of Smart Convergence Kwangwoon University, Seoul, Korea ]
  • Dai Yeol Yun [ Professor, Department of Plasma Bioscience and Display, KwangWoon University, Seoul 01897, Korea ] Corresponding author
  • Oh Seok Kwon [ Professor, Department of Plasma Bioscience and Display, KwangWoon University Graduate School, Seoul 01897, Korea ]
  • Seok-Jae Moon [ Professor, Department of Computer Science, Kwangwoon University, Seoul, Korea ]
  • Chi-gon Hwang [ Professor,Department of Computer Engineering, Institute of Information Technology, Kwangwoon University, Seoul, 01897, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 10 Number 2

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