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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2020-12-01 10:25 |
Online |
Online |
Sound Source Separation using Iterative Semi-Supervised NMF with Selecting Instrument Sound Riku Kasai, Noboru Hayasaka (OECU) SIS2020-28 |
[more] |
SIS2020-28 pp.6-11 |
SIS, ITE-BCT |
2018-10-25 15:40 |
Kyoto |
Kyoto University Clock Tower Centennial Hall |
[Tutorial Lecture]
Development and Application of Voice User Interface for Device Operation with High Usability Noboru Hayasaka (OECU) SIS2018-15 |
A speech recognition framework in smart speakers and smart phones require a network connection, which increases the burd... [more] |
SIS2018-15 pp.57-62 |
SIS, IPSJ-AVM |
2016-09-01 15:30 |
Osaka |
Osaka Electro-Communication Univ. |
Prototype of adjustable bed with speech interface Noboru Hayasaka (OECU) SIS2016-21 |
Adjustable beds which can raise the head, foot, and height of the bed have been widely used as beds in the current medic... [more] |
SIS2016-21 pp.27-32 |
SIS |
2015-12-03 13:15 |
Fukui |
Matsuya-sensen (Awara city, Fukui) |
Noise-Robust Scream Detection using Spectral Entropy and Multi-Condition Training Noboru Hayasaka (OECU) SIS2015-29 |
Recently, as crimes have become more diverse and increasingly sophisticated, our awareness of security systems has incre... [more] |
SIS2015-29 pp.1-6 |
SIS |
2010-06-10 13:50 |
Hokkaido |
Abashiri Public Auditorium |
Reduction of Memory Area and Power Consumption Using FIFO for HMM-based Speech Recognition Circuits Katsuya Takahashi, Shingo Yoshizawa (Hokkaido Univ.), Noboru Hayasaka (Ray Tron, Inc.), Yoshikazu Miyanaga (Hokkaido Univ.) SIS2010-7 |
[more] |
SIS2010-7 pp.37-42 |
SIS |
2008-06-12 13:55 |
Hokkaido |
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A Study of Speech Features Extraction Used for Robust Speech Recognition Using RSF/DRA Mon Sato, Shingo Yosizawa, Yoshikazu Miyanaga, Noboru Hayasaka (hokkaidou Univ) SIS2008-8 |
In many speech recognition systems, the speech features are based on MFCC. Exactly speaking, the 1st - 12th MFCC, the 0t... [more] |
SIS2008-8 pp.41-46 |
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