KIISE Transactions on Computing Practices (정보과학회 컴퓨팅의 실제 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Speech Recognition of the Korean Vowel 'ㅜ' Based on Time Domain Bulk Indicators

시간 영역 벌크 지표에 기반한 한국어 모음 'ㅜ'의 음성 인식

  • Received : 2016.08.01
  • Accepted : 2016.09.19
  • Published : 2016.11.15
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Abstract

Computing technologies are increasingly applied to most casual human environment networks, as computing technologies are further developed. In addition, the rapidly increasing interest in IoT has led to the wide acceptance of speech recognition as a means of HCI. In this study, we present a novel method for recognizing the Korean vowel 'ㅜ', as a part of a phoneme based Korean speech recognition system. The proposed method involves analyses of bulk indicators calculated in the time domain instead of analysis in the frequency domain, with consequent reduction in the computational cost. Four elementary algorithms for detecting typical waveform patterns of 'ㅜ' using bulk indicators are presented and combined to make final decisions. The experimental results show that the proposed method can achieve 90.1% recognition accuracy, and recognition speed of 0.68 msec per syllable.

네트워크와 컴퓨팅 기술의 발달로 인해 인간이 생활하는 거의 모든 일상 환경에 컴퓨팅 기술의 접목이 증대되고 있다. 또한, 사물 인터넷에 대한 관심이 급속히 증대되면서, 음성 인식은 중요한 HCI 수단으로 자리 잡고 있다. 본 논문은 음소 기반 한국어 음성 인식 시스템의 일부로서, 한국어 모음 'ㅜ'에 대한 새로운 인식 방식을 제안한다. 제안하는 방식은 주파수 영역에서의 분석 대신, 시간 영역에서 계산한 벌크 지표를 분석하여 동작하므로, 계산 비용을 현저히 절감할 수 있다. 벌크 지표를 사용하여 모음 'ㅜ'의 전형적인 파형 패턴들을 탐지하기 위한 네 가지 요소 알고리즘을 제시하며, 이를 결합하여 최종적인 판별을 수행한다. 실험 결과를 통해, 제안하는 방식이 90.1%의 인식 정확도를 달성할 수 있음을 확인하였으며, 인식 속도는 어절 당 0.68 msec이다.

Keywords

Acknowledgement

Supported by : 성신여자대학교

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