연구동향 분석
박사

인공지능과 얼굴 특징점을 이용한 실시간 영어발음 개선 연구

임대영 2018년

논문상세정보
인용/피인용
' 인공지능과 얼굴 특징점을 이용한 실시간 영어발음 개선 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Face Recognition
  • Facial Landmark
  • LSTM
  • Monophthongs Pronunciation
  • PyQt5
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
504 0

0.0%

' 인공지능과 얼굴 특징점을 이용한 실시간 영어발음 개선 연구' 의 참고문헌

  • Winterj, “Making PyQt5 codes in to EXE with Pyinstaller”, Feb 2017, https://winterj.me/pyinstaller/
  • Wikipedia, “Recurrent Neural Network”, Jun 2018, https://en.wikipedia.org/wiki/Recurrent_neural_network/
  • Wikipedia, “Long Short Term Memory”, Jun 2018, https://en.wikipedia.org/wiki/Long_short-term_memory
  • Wikipedia, “Convolution”, Jun 2018,https://en.wikipedia.org/wiki/Convolution/
  • Viola and Jones, "Rapid Object Detection Using A Boosted Cascade of Simple Features", M.E, pp. 1-9, May 2004.
  • Vahid Kazemi, "One Millisecond Face Alignment with an Ensemble of Regression Trees", CVPR 2014, pp.1-8, Jun 2014
  • Tistory, “PyQt5 with Python 3.4”, Oct 2015, http://kit2013.tistory.com/240
  • Tistory, “Deep Learning-Understanding Image Recognition Using Convolutional Networks for Beginners”, Nov 2016, http://bcho.tistory.com/1149/
  • The Qt Company, https://www.qt.io/
  • Tenstory, “English Reading Study”, 2018, http://www.tenstory.co.kr/
  • Sung Kyungsook, “The Comparison of Native Language Interference between Young and Old Learners in Second Language Acquisition”, Incheon National University, 2015 Master Thesis.
  • Sriraam Natarajan, “Gradient-Based Boosting for Statistical Relational Learning: The Relational Dependency Network Case”, Springer, pp.25-56, May 2011.
  • Speaking Max, “Introducing Speaking Max”, 2018, http://www.speakingmax.com/
  • Riverbank Computing Limited,“PyQt5 Download”, 2018, https://www.riverbankcomputing.com/software/pyqt/download5
  • Pranjal Srivastava, “Essentials of Deep Learning:Introduction to Long Short Term Memory”, Dec 2017, https://www.analyticsvidhya.com/blog/2017/12/fundamentals-of-deep-learning-introduction-to-lstm/
  • Oxford Visual Geometry Group, “ The BBC-Oxford ‘Lip Reading in The Wild’ (LRW) Dataset, Oct 2016, http://www.robots.ox.ac.uk/~vgg/data/lip_reading/
  • Oh HeeJeong, “Lexical Phrasal Errors Resulting from Interference of L1 in Korean College Student’s English Writings”, KASELL, Vol.6, No.2, pp. 399-416, Jun 2006.
  • Naver Blog, “Types of English Vowel”, Sep 2012, https://m.blog.naver.com/PostView.nhn?blogId=mooweeheon&logNo=50149511582&proxyReferer=https%3A%2F%2Fwww.google.co.kr%2F/
  • Naver Blog, “Convolutional Neural Networks Overview”, Jul 2016, http://m.blog.naver.com/msnayana/220776380373/
  • Matthews, “Extraction of visual features for lipreading”, Vol.24, No.2, pp. 198-213, 2002, http://www2.cmp.uea.ac.uk/~bjt/avletters/
  • Kyuchul Yoon, “Automatic Evaluation Model of English Pronunciation”, JWL , No.19, pp.149-167, Apr 2011.
  • Korean Standards Association, “Information Technology Biometric Data Interchange Formats-Part 5 : Face Image Data”, KS X ISO/IEC 19794-5: 2005
  • Ki-Yeong Park,“An Improved Normalization Method for Haar-like Features for Real-time Object Detection”, KICS, Vol.36, Np.8, pp.505-515, Aug 2011.
  • K. M. Lee,“Speech Recognition and Lip Shape Feature Extraction for English Vowel Pronunciation of the Hearing - Impaired Based on SVM”, RESKO, Vol.11, No.3, pp. 247-252, Aug 2017.
  • Johnson JS, “Critical Period Effects in Second Language Learning: The Influence of Maturational State on The Acquisition of English as A Second Language”, Vol. 21, No.1, pp. 60-99, Jan 1989.
  • Ji Hyeon Jung, “The Study of Foreign Exchange Trading Revenue Model Using Decision Tree and Gradient Boosting”, KDISS, Vol.24, No.1, pp.161-170, Feb 2013.
  • Helen Fraser, “ESL Pronunciation Teaching: Could it be More Effective”, Vol. 7, No.4, pp. 7-8, Aug 1999.
  • Heesuk Park, “A Visual Study of the Quality of English Pronunciation Using the Praat Program”, DCS, Vol.14, No.3, Sep. 2013.
  • GitHub, “Understand RNN and LSTM”, Mar 2017, https://ratsgo.github.io/natural%20language%20processing/2017/03/09/rnnlstm/
  • GitHub, “Machine Learning/Deep Learning Lectures for Everyone”, https://hunkim.github.io/ml/
  • George Yule, “The Variable Effects of Some Task‐Based Learning Procedures on L2 Communicative Effectiveness”, Wiley, Vol. 42, pp. 249-277, Jun 1992.
  • Choong Chul Kim, “Juhn’s Anatomical Schwa for Learning Second Langueages”, JKMA, Vol.51, No.4, pp.377-384, 2008