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A review of speech perception: The first step for convergence on speech engineering

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초록

People observe a lot of events in our environment and we do not have any difficulty to perceive events including speech perception. Like perception of biological motion, two main theorists have debated on speech perception. The purpose of this review article is to briefly describe speech perception and compare these two theories of speech perception. Motor theorists claim that speech perception is special to human because we both produce and perceive articulatory events that are processed by innate neuromotor commands. However, direct perception theorists claim that speech perception is not different from nonspeech perception because we only need to detect information directly like all other kinds of event. It is important to grasp the fundamental idea of how human perceive articulatory events for the convergence on speech engineering. Thus, this basic review of speech perception is expected to be able to used for AI, voice recognition technology, speech recognition system, etc.

Abstract

People observe a lot of events in our environment and we do not have any difficulty to perceive events including speech perception. Like perception of biological motion, two main theorists have debated on speech perception. The purpose of this review article is to briefly describe speech perception and compare these two theories of speech perception. Motor theorists claim that speech perception is special to human because we both produce and perceive articulatory events that are processed by innate neuromotor commands. However, direct perception theorists claim that speech perception is not different from nonspeech perception because we only need to detect information directly like all other kinds of event. It is important to grasp the fundamental idea of how human perceive articulatory events for the convergence on speech engineering. Thus, this basic review of speech perception is expected to be able to used for AI, voice recognition technology, speech recognition system, etc.

참고문헌 (27)

  1. 이영림, "A review of event perception: The first step for convergence on robotics", 디지털융복합연구, 13(4), pp.357~368 (2015), 한국디지털정책학회[DOI]
  2. 임애리, "인공와우 시뮬레이션에서 나타난 건청인 영어학습자의 영어 말소리 지각", 말소리와 음성과학, 6(3), pp.91~99 (2014), 한국음성학회[DOI]
  3. R. L. Diehl, "On the objects of speech perception", Ecological Psychology, 1, pp.121~144 (1989)
  4. C. A. Fowler, "An event approach to the study of speech perception from a direct-realist perspective", Journal of Phonetics, 14, pp.3~28 (1986)
  5. J. A. S. Helpso, "Functionally specific articulatory cooperation following jaw perturbations during speech : Evidence for coordinative structures", J. of Experimental Psychology : Human Perception and Performance, 10, pp.812~832 (1984)
  6. P. B. Denes, "The speech chain:The physics and biology of spoken language" (1996), W. H. Freeman and Company
  7. R. E. Remez, "Speech perception without traditional speech cues", Science, 212, pp.947~950 (1981)
  8. G. Johansson, "Visual perception of biological motion and a model for its analysis", Perception &Psychophysics, 14, pp.201~211 (1973)
  9. C. A. Fowler, "Persistence and Change", pp.283~298 (1985), Erlbaum
  10. A. M. Liberman, "The motor theory of speech perception revised", Cognition, 21, pp.1~36 (1985)
  11. P. Eiman, "Speech perception in infants", Science, 171, pp.125~138 (1985)
  12. R. L. Diehl, "An auditory basis for the stimulus-length effect in the perception of stops and glides", J. of Acoustical Society of America, 85, pp.2154~2164 (1989)
  13. A. M. Liberman, "The discrimination of relative onset-time of the components of certain speech and nonspeech patterns", J. of Experimental Psychology, 61, pp.379~388 (1961)
  14. D. B. Pisoni, "Perception of the duration of rapid spectrum changes in speech and nonspeech signals", Perception &Psychophysics, 34, pp.314~322 (1983)
  15. J. L. Miller, "Some effects of later-occurring information on the perception of stop consonant and semivowel", Perception &Psychophysics, 25, pp.457~465 (1979)
  16. P. Eimas, "The equivalence of cues in the perception of speech by infants", Infant Behavior and Development, 8, pp.125~138 (1985)
  17. C. T. Best, "Discovering phonetic coherence in acoustic patterns", Perception & Psychophysics, 45, pp.237~250 (1989)
  18. C. A. Fowler, "The Handbook of Speech Perception", pp.633~652 (2005), Blackwell
  19. J. J. Gibson, "The Psychology of Knowing", pp.215~227 (1972), Gordon and Breach
  20. C. A. Fowler, "Sound-producing sources as objects of perception : Rate normalization and nonspeech perception", J. of Acoustical Society of America, 88, pp.1236~1249 (1990)
  21. 윤은경, "The effects of perceptual training on speech production - focusing on Korean vowels", 외국어교육연구, 27(2), pp.1~28 (2013), 외국어교육연구소
  22. 황재천, "베이시안 기법과 선택적 음성특징 추출을 융합한 음성인식 성능 향상", 한국융합학회논문지, 7(6), pp.7~11 (2016), 한국융합학회[DOI]
  23. 이지현, "부호 분포 변동성에 기반한 한국어 음소 ‘ㅅ’, ‘ㅈ’, ‘ㅊ’ 음성인식", 정보과학회 컴퓨팅의 실제 논문지, 19(7), pp.377~382 (2013), 한국정보과학회
  24. 남상엽, "실시간 임베디드 음성 인식 시스템", 전자공학회논문지 - CI, 40(1), pp.74~81 (2003), 대한전자공학회
  25. 이윤정, "스마트 폰 음성 인식 서비스의 상황별 만족도 조사", 디지털융복합연구, 15(8), pp.351~357 (2017), 한국디지털정책학회[DOI]
  26. 육현승, "음성인식기술의 문화변동에 대한 인문학적 대응에 관한 연구", 디지털융복합연구, 13(8), pp.21~31 (2015), 한국디지털정책학회[DOI]
  27. 정명석, "논문데이터 분석을 통한 인공지능 분야 주요 연구 동향 분석", 디지털융복합연구, 15(5), pp.225~233 (2017), 한국디지털정책학회[DOI]

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