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 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
[Poster Presentation] MS-Harmonic-Net++ vs SiFi-GAN: Comparison of fundamental frequency controllable fast neural waveform generative models.
Sota Shimizu (Kobe Univ./NICT), Takuma Okamoto (NICT), Ryoichi Takashima (Kobe Univ.), Yamato Ohtani (NICT), Tetsuya Takiguchi (Kobe Univ.), Tomoki Toda (Nagoya Univ./NICT), Hisashi Kawai (NICT) SP2023-5
Although Harmonic-Net+ has been proposed as a fundamental frequency (fo) and speech rate (SR) controllable fast neural v... [more] SP2023-5
pp.20-25
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Fast Neural Waveform Generation Model With Fully Connected Upsampling
Haruki Yamashita (Kobe cniv/NICT), Takuma Okamoto (NICT), Ryoichi Takashima (Kobe Univ), Yamato Ohtani (NICT), Tetsuya Takiguchi (Kobe Univ), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) SP2023-15
In recent years, in text-to-speech synthesis, it is required to improve the inference speed while keeping the quality.
... [more]
SP2023-15
pp.73-78
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
09:30
Okinawa
(Primary: On-site, Secondary: Online)
MS-FC-HiFiGAN : Fast Neural Waveform Generation Model With Learnable Lightweight Upsampling
Haruki Yamashita (Kobe Univ/NICT), Takuma Okamoto (NICT), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) EA2022-76 SIP2022-120 SP2022-40
In recent years, in text-to-speech synthesis, it is required to improve the inference speed while keeping the quality.
... [more]
EA2022-76 SIP2022-120 SP2022-40
pp.7-12
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
10:50
Online Online [Invited Talk] Crazy vocoder is unbreakable -- But let's talk about an informal vision of the future --
Masanori Morise (Meiji Univ.) SP2022-15
When current speech synthesis researchers refer to Vocoder in their papers, they are most likely referring to Neural voc... [more] SP2022-15
pp.61-66
SIS 2021-03-04
09:00
Online Online Optimization source-filtere based speech waveform generation using adversarial training
Hayato Mitsui, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2020-35
This research aims to improve the accuracy of the source-filter based speech waveform generation model using deep learni... [more] SIS2020-35
pp.1-4
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Data augmentation for ASR system by using locally time-reversed speech -- Temporal inversion of feature sequence --
Takanori Ashihara, Tomohiro Tanaka, Takafumi Moriya, Ryo Masumura, Yusuke Shinohara, Makio Kashino (NTT) EA2019-110 SIP2019-112 SP2019-59
Data augmentation is one of the techniques to mitigate overfitting and improve robustness against several acoustic varia... [more] EA2019-110 SIP2019-112 SP2019-59
pp.53-58
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
A Study for HMM-based embedded speech synthesis using a large-scale speech corpus
Nobuyuki Nishizawa, Tomohiro Obara, Hiromi Ishizaki (KDDI Research, Inc.) EA2019-141 SIP2019-143 SP2019-90
This study shows that our speech synthesis system based on HMM speech synthesis for embedded devices can perform real-ti... [more] EA2019-141 SIP2019-143 SP2019-90
pp.231-236
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
10:35
Tokyo NHK Science & Technology Research Labs. [Invited Talk] Progress and prospects of statistical speech synthesis
Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-35
The basic problem of statistical speech synthesis is quite simple: we have a speech database for training, i.e., a set o... [more] SP2019-35
pp.11-12
SP 2016-01-14
15:35
Kanagawa Sunpian Kawasaki Pitch-synchronous band group delay vocoder for high quality speech synthesis
Masatsune Tamura, Ryo Morinaka, Masahiro Morita (Toshiba) SP2015-91
This paper presents a speech analysis and synthesis method that can precisely synthesize speech waveforms for high quali... [more] SP2015-91
pp.33-38
SP, IPSJ-MUS 2014-05-25
11:30
Tokyo   Speech waveform generation on subband domain
Nobuyuki Nishizawa, Tsuneo Kato (KDDI R&D Labs) SP2014-35
To reduce the computational cost for waveform generation in speech synthesis based on analysis-synthesis systems like HM... [more] SP2014-35
pp.349-354
SP, EA, SIP 2013-05-17
09:45
Okayama   Fast speech waveform generation using subband coding for speech synthesis
Nobuyuki Nishizawa, Tsuneo Kato (KDDI Labs) EA2013-15 SIP2013-15 SP2013-15
For fast waveform generation in HMM-based speech synthesizers, a new method using a subband coding method that is also u... [more] EA2013-15 SIP2013-15 SP2013-15
pp.85-90
 Results 1 - 11 of 11  /   
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