JP7188589B2 - 復元装置、復元方法、およびプログラム - Google Patents

復元装置、復元方法、およびプログラム Download PDF

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JP7188589B2
JP7188589B2 JP2021528089A JP2021528089A JP7188589B2 JP 7188589 B2 JP7188589 B2 JP 7188589B2 JP 2021528089 A JP2021528089 A JP 2021528089A JP 2021528089 A JP2021528089 A JP 2021528089A JP 7188589 B2 JP7188589 B2 JP 7188589B2
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signal
clipped
restoration
neural network
clipped signal
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JPWO2020255242A1 (https=
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暁 江村
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NTT Inc
NTT Inc USA
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Nippon Telegraph and Telephone Corp
NTT Inc USA
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L21/0232—Processing in the frequency domain
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • G10L25/30—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Signal Processing (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
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  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
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  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
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  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Image Processing (AREA)
JP2021528089A 2019-06-18 2019-06-18 復元装置、復元方法、およびプログラム Active JP7188589B2 (ja)

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PCT/JP2019/024058 WO2020255242A1 (ja) 2019-06-18 2019-06-18 復元装置、復元方法、およびプログラム

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JPWO2020255242A1 JPWO2020255242A1 (https=) 2020-12-24
JP7188589B2 true JP7188589B2 (ja) 2022-12-13

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US11765011B2 (en) 2021-07-06 2023-09-19 Huawei Technologies Co., Ltd. Method and apparatus for transmitting and receiving data

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005275410A (ja) 2004-03-23 2005-10-06 Herman Becker Automotive Systems-Wavemakers Inc ニューラルネットワークを利用してスピーチ信号を分離する。
JP2013162347A (ja) 2012-02-06 2013-08-19 Sony Corp 画像処理装置、画像処理方法、プログラム、および装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150032449A1 (en) * 2013-07-26 2015-01-29 Nuance Communications, Inc. Method and Apparatus for Using Convolutional Neural Networks in Speech Recognition
KR102565447B1 (ko) * 2017-07-26 2023-08-08 삼성전자주식회사 청각 인지 속성에 기반하여 디지털 오디오 신호의 이득을 조정하는 전자 장치 및 방법
US10699700B2 (en) * 2018-07-31 2020-06-30 Tencent Technology (Shenzhen) Company Limited Monaural multi-talker speech recognition with attention mechanism and gated convolutional networks
US20190149134A1 (en) * 2019-01-14 2019-05-16 Intel Corporation Filter optimization to improve computational efficiency of convolution operations

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005275410A (ja) 2004-03-23 2005-10-06 Herman Becker Automotive Systems-Wavemakers Inc ニューラルネットワークを利用してスピーチ信号を分離する。
JP2013162347A (ja) 2012-02-06 2013-08-19 Sony Corp 画像処理装置、画像処理方法、プログラム、および装置

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
IIZUKA,Satoshi et al.，Globally and Locally Consistent Image Completion，[onlone]，米国，ACM，2017年07月，pages:1-14，[Retrieved from the Internet]<URL:https://dl.acm.org/doi/pdf/10.1145/3072959.3073659>
YU,Jiahui et al.，Free-Form Image Inpainting with Gated Convolution，[online]，米国，arXiv，2018年06月10日，pages:1-12，[retrieved on 2022.8.24]，Retrieved from the Internet:＜ＵＲＬ：https://arxiv.org/pdf/1806.03589v1.pdf＞

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JPWO2020255242A1 (https=) 2020-12-24
US20220375489A1 (en) 2022-11-24

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