年単位の研究成果
Fingerprint Kazunori Manoが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。
Speech coding
Engineering & Materials Science
Vector quantization
Engineering & Materials Science
coders
Physics & Astronomy
Innovation
Engineering & Materials Science
coding
Physics & Astronomy
Speech synthesis
Engineering & Materials Science
Noise generators
Engineering & Materials Science
Communication
Engineering & Materials Science
ネットワーク
最近の共同研究。丸をクリックして詳細を確認しましょう。
研究成果 1985 2017
1
引用
(Scopus)
Animated texts application in visualizing speech features for Foreign language learning
Samsudin, N. S. B. & Mano, K., 2017 12 19, TENCON 2017 - 2017 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 巻 2017-December. p. 1778-1783 6 p.研究成果: Conference contribution
Visualization
Speech analysis
Application programs
Experiments
Color
Comparison between random and daily speech database in the speech visualization
Samsudin, N. S. B. & Mano, K., 2017 11 27, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., 巻 2017-January. p. 3135-3140 6 p.研究成果: Conference contribution
Visualization
Feedback
Experiments
Comparison of native and nonnative speakers' perspective in animated text visualization tool
Binti Samsudin, N. S. & Mano, K., 2016 1 5, TENCON 2015 - 2015 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 巻 2016-January. 7372934研究成果: Conference contribution
Visualization
Speech synthesis
Speech recognition
Personal computers
Learning systems
3
引用
(Scopus)
Systems engineering design education based on multidisciplinary and global project based learning
Inoue, M., Hasegawa, H., Mano, K., Furukawa, Y., Yamazaki, A., Aank, K. & Tachibana, M., 2014, International Conference on Advanced Design Research and Education, ICADRE 2014. Research Publishing Services, p. 53-61 9 p.研究成果: Conference contribution
systems engineering
Systems engineering
Education
learning
education
Segment selection method based on tonal validity evaluation using machine learning for concatenative speech synthesis
Yoshida, A., Mizuno, H. & Mano, K., 2008 4 1, ： : Proc. IEEE Int. Conf. on Acoust. Speech, and Signal Process.. p. 4617-4620研究成果: Article