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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP 2019-03-14
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Prototyping of Interaction Software Based on Selective Synthesis and Superposition of Multiple Sound Fields
Toshiharu Horiuchi, Sumaru Niida (KDDI Research) EA2018-107 SIP2018-113 SP2018-69
This research presents interaction software prototypes based on selective synthesis and superposition of multiple sound ... [more] EA2018-107 SIP2018-113 SP2018-69
(Joint) [detail]
Okinawa   [Poster Presentation] A Hybrid Approach on Electrolaryngeal Speech Enhancement based on Spectral Differential Features and Noise Suppression
Mohammad Eshghi, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) EA2017-141 SIP2017-150 SP2017-124
This work presents a hybrid approach for enhancing the quality of the electrolaryngeal (EL) speech. Current hybrid enhan... [more] EA2017-141 SIP2017-150 SP2017-124
EA 2018-02-16
Hiroshima Pref. Univ. Hiroshima Selective Synthesis of Stereophonic Sound Field Based on Spectral Modification Between Multiple Channels
Toshiharu Horiuchi, Sumaru Niida (KDDI Research) EA2017-98
This research presents a selective synthesis method of stereophonic sound field for the interactive viewing of omni/hemi... [more] EA2017-98
EA, SP, SIP 2016-03-28
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] An evaluation of F0 transformation for statistical singing voice conversion based on spectral differential filtering
Kazuhiro Kobayashi (NAIST), Tomoki Toda (Nagoya Univ./NAIST), Satoshi Nakamura (NAIST) EA2015-84 SIP2015-133 SP2015-112
In this report, we propose a technique for cross-gender statistical singing voice conversion (SVC) with direct waveform ... [more] EA2015-84 SIP2015-133 SP2015-112
SP 2015-10-15
Hyogo Kobe Univ. Statistical singing voice conversion based on direct waveform modification and its parameter generation algorithms
Kazuhiro Kobayashi, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-60
This report presents a novel statistical singing voice conversion (SVC) technique with direct waveform modification base... [more] SP2015-60
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-02
Ibaraki   On Improvement of Tensor Spectral Method for Estimation of Mixed Membership Stochastic Block Model
Wataru Kaigaishi (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.) PRMU2014-51 IBISML2014-32
Maximum likelihood estimation is a common approach to estimating mixed membership stochastic block models; however, it i... [more] PRMU2014-51 IBISML2014-32
Toyama Toyama Prefectural University A Flexible Temporal Decomposition-based Spectral Modification Method using Asymmetric Gaussian Mixture Model
Binh Phu Nguyen, Masato Akagi (JAIST) SP2007-25
This paper presents a new spectral modification method to deal with two drawbacks of standard spectral modification meth... [more] SP2007-25
EA 2004-11-25
Oita Ohita Univ. Speech recognition under the noisy environment using the improved rules of enhancement of spectral envelops
Kazuki Yoshida, Masanori Akita, Yoichi Midorikawa (Oita Univ.)
This report aims at modification of the shapes of spectral envelopes of the speech signal polluted with noise. In this ... [more] EA2004-90
 Results 1 - 8 of 8  /   
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