International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Comparative Analysis of Speech Recognition Open API Error Rate

  • Kim, Juyoung (Graduate School of Smart Convergence Kwangwoon University) ;
  • Yun, Dai Yeol (Department of Plasma Bioscience and Display, KwangWoon University) ;
  • Kwon, Oh Seok (Department of Plasma Bioscience and Display, KwangWoon University Graduate School) ;
  • Moon, Seok-Jae (Department of Computer Science, Kwangwoon University) ;
  • Hwang, Chi-gon (Department of Computer Engineering, Institute of Information Technology, Kwangwoon University)
  • Received : 2021.04.23
  • Accepted : 2021.05.04
  • Published : 2021.06.30
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Abstract

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.

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References

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