The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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A Study of Fundamental Frequency for Focused Word Spotting in Spoken Korean

한국어 발화음성에서 중점단어 탐색을 위한 기본주파수에 대한 연구

  • 권순일 (한국과학기술연구원 지능인터랙션연구센터) ;
  • 박지형 (과학기술연합대학원대학교 HCI 및 로봇응용공학) ;
  • 박능수 (건국대학교 정보통신대학 컴퓨터공학부)
  • Published : 2008.12.31
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Abstract

The focused word of each sentence is a help in recognizing and understanding spoken Korean. To find the method of focused word spotting at spoken speech signal, we made an analysis of the average and variance of Fundamental Frequency and the average energy extracted from a focused word and the other words in a sentence by experiments with the speech data from 100 spoken sentences. The result showed that focused words have either higher relative average F0 or higher relative variances of F0 than other words. Our findings are to make a contribution to getting prosodic characteristics of spoken Korean and keyword extraction based on natural language processing.

각 문장 별 중점단어는 발화음성을 인식하고 그 의미를 이해하는데 도움을 준다. 발화된 음성신호로부터 중점단어를 탐색할 수 있는 방법을 찾기 위한 노력의 일환으로 실험을 통하여 문장 내에서 중점단어와 그 외의 단어들의 기본주파수의 평균과 분산, 그리고 평균 에너지를 분석해 보았다. 한국어로 된 100개의 발화문장의 음성데이터를 가지고 실험을 한 결과 중점단어는 그 외의 단어들에 비해 대부분 상대적으로 높은 기본주파수의 평균값을 나타내거나 상대적으로 높은 기본주파수의 분산 값을 나타냈다. 이 연구 결과를 이용하면 한국어의 구어문장에서 운율적 특성을 알 수 있을 뿐만 아니라, 자연어 처리를 이용한 핵심어를 추출하는 데에도 도움이 될 것이다.

Keywords

References

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