AKITA Masanori

■FacultyFaculty of Science and Technology
■PositionProfessor
 

Profile

Faculty

    Faculty of Science and Technology, Division of Electrical and Electronic EngineeringProfessor

Name

    AKITA Masanori

Degree(1)

  • Doctor of Engineering, 東京工業大学, Mar. 1987

Education

Classes

  • 2004, Electronic curcuits
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004
  • 2004, Advanced engineering og the communication
  • 2004, Advanced engineering og the hearing
  • 2005, Electronic Curcuits 1
  • 2005, Electronic Curcuits 2
  • 2005, Communication Engineering
  • 2005, Acoustic Engineering
  • 2005, Communication Systems
  • 2005, Electronic and Electrical Experiments 1
  • 2005, Electronic and Electrical Experiments 2
  • 2005, Electronic and Electrical Experiments 3
  • 2005, Electronic and Electrical Experiments 4
  • 2005, Intoduction to Electronical and Electronic Engineering
  • 2005
  • 2005
  • 2005
  • 2005
  • 2006, Electronic Curcuits 1
  • 2006, Electronic Curcuits 2
  • 2006, Communication Engineering
  • 2006, Acoustic Engineering
  • 2006, Communication Systems
  • 2006, Electrical and Electronic Experiments
  • 2006, Electrical and electronic Experiments 2
  • 2006, Electrical and Electronic Experiments 3
  • 2006, Electrical and Electronic Experiments 4
  • 2006, Introduction to Electrical and electronic Experiments
  • 2006
  • 2006
  • 2006
  • 2007, Electronic Curcuits 1
  • 2007, Electronic Curcuits 2
  • 2007, Communication Engineering
  • 2007, Acoustic Engineering
  • 2007, Communication Systems
  • 2007, Electrical and Electronic Experiments
  • 2007, Electrical and electronic Experiments 2
  • 2007, Electrical and Electronic Experiments 3
  • 2007, Electrical and Electronic Experiments 4
  • 2007, Introduction to Electrical and electronic Experiments
  • 2007
  • 2007
  • 2007
  • 2007
  • 2008, Electronic Curcuits 1
  • 2008, Electronic Curcuits 2
  • 2008, Communication Engineering
  • 2008, Acoustic Engineering
  • 2008, Communication Systems
  • 2008, Electrical and Electronic Experiments
  • 2008, Electrical and electronic Experiments 2
  • 2008, Electrical and Electronic Experiments 3
  • 2008, Electrical and Electronic Experiments 4
  • 2008, Introduction to Electrical and electronic Experiments
  • 2008, Basic Experiment of Electrical and Electronic Engineering
  • 2008
  • 2008
  • 2008
  • 2008
  • 2009, Electronic Circuit 1
  • 2009, Electronic Circuits 2
  • 2009, Communication Engineering
  • 2009, Communication Systems
  • 2009, Sound Engineering
  • 2009, Basic Experiment of Electrical and Electronic Engineering
  • 2009, Introduction to Electrical and electronic Experiments
  • 2009, Experiments of the Electrical and electronic engineeing
  • 2009, Electrical and electronic Experiments
  • 2009, Electrical and electronic Experiments
  • 2009, Electrical and electronic Experiments
  • 2009
  • 2009
  • 2009
  • 2009
  • 2010, Electric curcuits
  • 2010, Experiments of the electical and electronic engineering
  • 2010, Communication systems
  • 2010
  • 2010, Communication engineering
  • 2010, Basic experiments of electric engineering
  • 2010, Communication engineering
  • 2010
  • 2010, Advanced communication engineering
  • 2010, introduction ogf the electiic engineering
  • 2010
  • 2010
  • 2010, Acoustic engineering
  • 2012, Advanced Communication Engineering
  • 2012, Advanced Acoustics Engineering)
  • 2012, Communication Engineering
  • 2012, Acoustic Engineering
  • 2012, Communication Systems
  • 2012, An Introduction to Electric Engineering 2
  • 2012, Advanced processing of Speech and Hearing

Research Achievements

Field of Study

    Perception information processing/intelligent robotics, Signal Processing

Research content keyword

    Noisy sound processing, setecting sleepiness

Research Title

  • Speech Recognition Under the Noisy Environment, Spectral subtruction is often used in the noisy speech recognition. In my laboratory， the rule of the transform of the spctral shape is defined and the improvement of the recognition system is tried.
  • Signal Enhancement Under the Noisy Environment, Homomorphic analysis-synthesis systems and the rele of the transform of the spectral envelopes are used for the enhancement of the singnals such as noisy speech.
  • Processing of the noise for the sensor, Analysis of the noise using homomorphoc methods are used for the inprovement of the meaurement using sensors.
  • Speech Recognition Under the Noisy Environment, Spectral subtruction is often used in the noisy speech recognition. In my laboratory， the rule of the transform of the spctral shape is defined and the improvement of the recognition system is tried.
  • Signal Enhancement Under the Noisy Environment, Homomorphic analysis-synthesis systems and the rele of the transform of the spectral envelopes are used for the enhancement of the singnals such as noisy speech.
  • Processing of the noise for the sensor, Analysis of the noise using homomorphoc methods are used for the inprovement of the meaurement using sensors.
  • Speech Recognition Under the Noisy Environment, Spectral subtruction is often used in the noisy speech recognition. In my laboratory， the rule of the transform of the spctral shape is defined and the improvement of the recognition system is tried.
  • Signal Enhancement Under the Noisy Environment, Homomorphic analysis-synthesis systems and the rele of the transform of the spectral envelopes are used for the enhancement of the singnals such as noisy speech.
  • Prediction of sleepness using sound signal, Analysis of the noise using homomorphoc methods are used for the inprovement of the meaurement using sensors for detecting sleepness.
  • Speech Recognition Under the Noisy Environment, Spectral subtruction is often used in the noisy speech recognition. In my laboratory， the rule of the transform of the spctral shape is defined and the improvement of the recognition system is tried.
  • Signal Enhancement Under the Noisy Environment, Homomorphic analysis-synthesis systems and the rele of the transform of the spectral envelopes are used for the enhancement of the singnals such as noisy speech.
  • Prediction of sleepness using sound signal, Analysis of the noise using homomorphoc methods are used for the inprovement of the meaurement using sensors for detecting sleepness.
  • Speech Recognition Under the Noisy Environment, Spectral subtruction is often used in the noisy speech recognition. In my laboratory， the rule of the transform of the spctral shape is defined and the improvement of the recognition system is tried., 1998
  • Signal Enhancement Under the Noisy Environment, Homomorphic analysis-synthesis systems and the rele of the transform of the spectral envelopes are used for the enhancement of the singnals such as noisy speech., 1998
  • Prediction of sleepness using sound signal, Analysis of the noise using homomorphoc methods are used for the inprovement of the meaurement using sensors for detecting sleepness., 2004

Papers

  • 2004, Improvement of the signal pattern recognition under the noisy environment by combining advanced spectral envelope modification and wavelet transform, 日本ＡＥＭ学会誌, 2005
  • 2004, Improvement of the Speech Recognition under the Noisy Environment using Wavelet Transform, Proceedings of the International Congress on Acoustics (ICA 2004)
  • 2004, .Improved methods of modification of spectral shape for speech under the noisy environment, Proceedings of the International Congress on Acoustics (ICA 2004), 2004
  • 2004, Enhancement of the sinals using cepstral coefficients and weighting function on quefrency domain, 第14回　MAGDAコンファレンス　講演論文集, 2005
  • 2004, Improvement of the signal pattern recognition under the noisy environment using smoothing and emphasis method by wavelet transform, 第１４回ＭＡＧＤＡコンファレンス講演論文集, 2005
  • 2005, Improvement of the Emphasis Methods of Poles and Zeros on Spectral Envelopes of Noisy Signals, 日本ＡＥＭ学会誌, 2006
  • 2005, Improvement of the Noisy Pattern Recognition using Wavelet Transform and Weighting Coefficients for Each Subblock, Proceedings of the 12th international Symposium on Interdisciplinary Electromagnetic， Mechanic, 2005
  • 2005, Cepstral Analysis of the Signals Obtained from Car Seat for the Prediction of Sleep in Sleep-wake State, Proceedings of the 12th international Symposium on Interdisciplinary Electromagnetic， Mechanic, 2006
  • 2006, The Smoothing of the Local Peaks of Spectral Envelopes on Selected Frequebcy Domain Using Cepstral Coefficients, Proceeding of the WESTPAC IX, 2006
  • 2006, Improvement of The Speech Recognintion Under The Noisy Environment Using Image Filters, Proceedings of the WESPAC IX, 2006
  • 2006, .Noisy speech recognition using modification of spectral envelopes and smoothing and emphasis method by image filters, Proceedings of Fourth Joint Meeting: Acoustic Society of America and Acoustic Society of Japan, 2006
  • 2006, Evaluation of the method of spectral smoothing for detection the prediction of sleep in sleep-wake state, 第15回　MAGDAコンファレンス　講演論文集, 2006
  • 2006, Improvement of the signal pattern recognition under the noisy environment using methods of modification of spectral envelops and image filters, 第１５回ＭＡＧＤＡコンファレンス講演論文集, 2005
  • 2006, Usagr of the Selected Smoothing Method for processing of the Speech Signal under the Noisy Environment, 電子情報通信学会技術研究報告, 2006
  • 2006, Speech recognition under the noisy environment by Emphasis of the local peaks of　spectral envelopes using nonlinear threshold functions, Proceedings of the Kyushu Youngnam Joint Conference on Acoustics 2007, 2007
  • 2006, Speech recognotion under the noisy environment using cepstral coefficients and　improved weighting functions on quefrency domain, Proceedings of the Kyushu Youngnam Joint Conference on Acoustics 2007, 2007
  • 2007, Improvement of the speech recognition under the noisy environment using the savitzky-golay smoothing filter, Proceeding of the the 19th International Congress on Acoustics (ICA 2007), 2007
  • 2007, Improvement of the Noisy Pattern Recognition using Wavelet Transform and Weighting Coefficients for Each Subblock, International Journal of Applied Electromagnetics and Mechanics, 2007
  • 2007, .Evaluation of Signal Enhancement and Smoothing using Selected Smoothing Method and Frequency Warping, Proceedings of the 13th International Symposium on Applied Electromagnetics and Mechanics, 2007
  • 2007, Improvement of the signal pattern recognition under the noisy environment using methods of spectral envelopes and imaging filters, 日本AEM学会誌, 2007
  • 2007, Technology of Comfortable Seat, 自動車技術, 2008
  • 2007, Evaluation of the usage of spectral transform by rules using speech recognition under the noisy environment, 電子情報通信学会技術研究報告, 2006
  • 2008, Study of the Pattern　Recognition under the Noisy Environment Using Wavelet Divison, 第17回MAGDAコンファレンスin 日立講演論文集, 2008
  • 2008, Improvement of the Noisy Pattern Recognition using Wavelet Transform of Subblock, 第20回「電磁力関連のダイナミクス」シンポジウム講演論文集, 2007
  • 2008, The Basic examination of the prediction of sleep in sleep-wake state using Sound signals, 第２０回「電磁力関連のダイナミクス」シンポジウム講演論文集, 2008
  • 2008, Speech Recognition under the Noisy Environment using Combined Spectral Transformation Methods, 第２０回「電磁力関連のダイナミクス」シンポジウム講演論文集, 2008
  • 2008, The examination of the detecting the sound signals in the human body for prediction of sleep in sleep-wake state, 電子情報通信学会技術研究報告, 2008
  • 2008, Examination of the multiuse of the spectral transform Methods for the noisy speech recognition, 電子情報通信学会技術研究報告, 2008
  • 2008, The basic measurement of the sound signal in human body for detect of sleepiness, Proceedings of the Youngnam-Kyushu Joint Conference on Acoustics 2009, 2009
  • 2009, The basic measurement of the sounds in human body for detecting the sleep-in sleep state, Proceeding of the 10th Western Pacific Acoustic Conference (CDROM), 2009
  • 2009, The Measurement of the sound signal in fuman body for detecting sleepiness (the 2nd report), 電子情報通信学会技術研究報告, 2009
  • 2010, Detection of sleepiness using the sound signals inside the body and the hip pressure by piezoelectric sensors, Proceedings of the Kyushu-Youngnam Joint Conference on Acoustics 2011, 2011
  • 2010, Noisy speech recognition by speech enhancement using the averaged spectral envelopes of vocalic sounds, Proceedings of the Kyushu-Youngnam Joint Conference on Acoustics 2011, 2011
  • 2010, The basic experiment of the emphasis of the spectral envelopes on low frequency range for detecting sleepiness, 日本音響学会2011年春季研究発表会講演論文集, 2011
  • 2012, Experiment of rules for emphasizing the local peals of spectral envelopes for enhancement of the noisy signal, 第24回「電磁力関連のダイナミクス」シンポジウム講演論文集, 2012
  • 2012, Recognition of Lombard speech using the emphasis of the local peaks of spectral eenvelopes and frequency warping method, 電子情報通信学会技術研究報告, 2012
  • 2012, Application of　frequency warping method in analyze of speech signal under the noisy environment, 第21回ＭＡＧＤＡコンファレンスin仙台講演論文集, 2012
  • 2012, Method of Revision of The Spectral Transition by Lombard Effect for Speech Recognition, Proceedings of the Kyushu-Youngnam Joint Conference on Acoustics 2013, 2013
  • 2013, The detection of the sleepiness from the sounds obtained inside of the body, Acoustical Society of America, Proceedings of Meetings on Acoustics, 2013
  • 2013, The detection of unpleasant feeling from the sounds obtained inside of the body, 電子情報通信学会技術研究報告, 2013
  • 2013, The Study of the Detection of Unpleasant Feelings using the Sound inside of Body (The 2nd Report), 日本音響学会2014年春季研究発表会講演論文集, 2014
  • 2014, The detection of unpleasant feeling using the spectral envelopes of the sounds obtained inside of the body with emphasis on the low frequency, Proceedings of the Kyushu-Youngnam Joint Conference on Acoustics 2015, 205, 2015
  • 2014, The trial manufacture of the microphone for measuring the sound inside of the body for detecting the sleepiness state, Proceedings of the Kyushu-Youngnam Joint Conference on Acoustics 2015, 206, 2015
  • 2014, The detection of the unpleasant feeling using frequency warping method　from the sounds obtained inside of the body, 日本音響学会2014年秋季研究発表会講演論文集．1-Q-20, 2014
  • 2014, 平成26年度電気・情報関係学会九州支部連合大会論文集, 2014
  • 2014, The detection of the unpleasant feeling from the soundsobtained inside of the body(the 2nd report), 日本音響学会2015年春季研究発表会講演論文集．2-P-17, 2015
  • 2015, Noisy speech recognition using the weighting method by threshold on wavelet spectrum, 日本音響学会2015年秋季研究発表会講演論文集．1-Q-12, 2015
  • 2015, A Study of Noisy Signal Pattern Recognition using Method of Emphasizing Wavelet Coefficients for Reference Clean Signal Data, Proceedings of the 17th International Symposium on Applied Electromagnetics and Mechanics(ISEM 2015), PS2-42, 2015
  • 2015, Fundamental examination of the measuring sounds in human body for forecast of pleasant feeling, 日本音響学会九州支部第１１回学生のための研究発表会講演論文集, 2015
  • 2015, Study on the sound quality improvement of flesh conduction voice, 日本音響学会九州支部第１１回学生のための研究発表会講演論文集, 2015
  • 2015, Relationship Between the Unpleasant Feeling and the Sounds from Inside of the Body, Proceedings of the 12th Western Pacific Acoustics Conference 2015, 744, 2015
  • 2015, Basic study of the emphasis method of speech signals inside of the body, 日本音響学会2016年春季研究発表会講演論文集．1-P-19, 2016
  • 2016, Study of Noisy Signal Pattern Recognition using Method of Emphasizing Wavelet Coefficients for Reference Clean Signal Data, International Journal of the Applied Electromagnetics and Mechanics Volume 52, Nos 3,4, 2016
  • 2016, Enhancement of the Speech from NAM Microphone Using Analysis-Synthesis Systems Using Cepstral Coefficients, Proceedings of the Youngnam-Kyusyu Joint Conference on Acoustics 2017, J-14 , 2017
  • 2016, Detection of the change of pleasant feelings when hearing music using the sound signals in the body, Proceedings of the Youngnam-Kyusyu Joint Conference on Acoustics 2017, J-16 , 2017
  • 2016, 日本音響学会2017年春季研究発表会講演論文集．1-Q-8, 2017
  • 2016, A study of the detection of feelings using the sound in the body in case of the different musical hearing, 電子情報通信学会技術研究報告, 2016
  • 2016, Basic study of the sound quality improvement using the signal emphasis of the sound from inside of the body, 電子情報通信学会技術研究報告, 2016

Learned Societies to Belong

  • The institute of electronics， information and communication JAPAN　Acoustic Society of JAPAN　The Japan Society of Applied Electromagnetics and Mechanics　IEEE
  • Acoustic Society of Japan
  • The Japan Society of Applied Electromagnetics and Mechanics
  • IEEE
  • The Institute of Electronics， Information and Communication Engineers
  • Acoustic Society of JAPAN
  • The Japan Society of Applied Electromagnetics and Mechanics
  • Institute of Electrical and Electronics Engineers
  • The Institute of Electronics， Information and Communication Engineers
  • Acoustic Society of JAPAN
  • The Japan Society of Applied Electromagnetics and Mechanics
  • Institute of Electrical and Electronics Engineers
  • The Institute of Electronics， Information and Communication Engineers
  • Acoustic Society of JAPAN
  • The Japan Society of Applied Electromagnetics and Mechanics
  • Institute of Electrical and Electronics Engineers

Grant-in-aid for Scientific Research

  • Usage of the sound signal foe detecting the sleepness of the human, 2006-2008
  • Usage of the sound signal foe detecting the sleepness of the human, 2006-2008
  • Usage of the sound signal foe detecting the sleepness of the human, 2006-2008
  • Construcion of the Simularcle Database of the Architecture Sound by Numerical Analysis, 2007-2009

Collaborative Research and Sponsored Research

  • 2006, 入眠予兆検知着座センサーによる居眠り運転防止技術の開発
  • 2007, 入眠予兆検知着座センサーによる居眠り運転防止技術の開発

Social Contribution

Social Activities

  • 2008

International Research Project

  • 2008

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