Title:
SPEECH FEATURE COMPENSATION APPARATUS, METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/171415
Kind Code:
A1
Abstract:
The speech feature compensation apparatus 100 includes training means11 for training a generator 21 and a discriminator 22 of GAN using a first feature vector extracted from a short speech segment and a second feature vector extracted from a long speech segment, from the same speaker regarding the short speech, which is longer than the short speech segment, and outputting trained parameters of the GAN, feature extraction means 12 for extracting a feature vector from an input short speech, and generation means 13 for generating a robust feature vector based on the extracted feature vector using the trained parameters.
Inventors:
WANG QIONGQIONG (JP)
OKABE KOJI (JP)
KOSHINAKA TAKAFUMI (JP)
OKABE KOJI (JP)
KOSHINAKA TAKAFUMI (JP)
Application Number:
PCT/JP2018/008251
Publication Date:
September 12, 2019
Filing Date:
March 05, 2018
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G10L17/02; G10L17/00; G10L17/18
Foreign References:
| US20160098993A1 | 2016-04-07 | |||
| US20160098987A1 | 2016-04-07 |
Other References:
PASCUAL, SANTIAGO ET AL.: "SEGAN: Speech Enhancement Generative Adversarial Network", ARXIV PREPRINT ARXIV:1703.09452, 9 June 2017 (2017-06-09), pages 3642 - 3646, XP055579756
YU , HONG ET AL.: "Adversarial Network Bottleneck Features for Noise Robust Speaker Verification", ARXIV PREPRINT ARXIV:1706.03397, 11 June 2017 (2017-06-11), XP080769015
YU , HONG ET AL.: "Adversarial Network Bottleneck Features for Noise Robust Speaker Verification", ARXIV PREPRINT ARXIV:1706.03397, 11 June 2017 (2017-06-11), XP080769015
Attorney, Agent or Firm:
IWAKABE Fuyuki et al. (JP)
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