Result for "Speech signal processing",377

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

Digital Signal Processing technology, we are researching speech recognition technology, acoustic signal

https://www.rd.ntt/e/cs/team_project/media/signal/

Tomohiro Nakatani | NTT R&D Website

/center/dept Audio and speech signal processing for capturing and recognition of human conversations The

https://www.rd.ntt/e/organization/researcher/superior/s_012.html

信号処理研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Boeddeker & Tsubasa Ochiai (2024). Microphone Array Signal Processing and Deep Learning for Speech

https://www.rd.ntt/cs/team_project/media/signal/

Media Information Laboratory | NTT Communication Science Laboratories | NTT R&D Website

). Microphone Array Signal Processing and Deep Learning for Speech Enhancement: Combining model-based and data

https://www.rd.ntt/e/cs/team_project/media/

Speech information processing | NTT R&D Website

processing technology handles speech as signal data for analysis and processing, such as recognition and

https://www.rd.ntt/e/hil/category/voice/

Speech and Audio Signal Modeling | NTT Communication Science Laboratories | NTT R&D Website

speech signal processing problems, including speech analysis, synthesis, modification, coding, and

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media03.html

Marc Delcroix | NTT R&D Website

Communication Science LaboratoriesMore researchers belonging to the lab/center/dept Speech signal processing for

https://www.rd.ntt/e/organization/researcher/special/s_033.html

0085.pdf

,” IEEE Trans. Acoustics, Speech and Signal Processing, vol. 27, pp. 113–120, 1979. [2] M. Berouti, R

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0085.pdf

メディア情報研究部｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Boeddeker & Tsubasa Ochiai (2024). Microphone Array Signal Processing and Deep Learning for Speech

https://www.rd.ntt/cs/team_project/media/

中谷 智広 | NTT R&D Website

Workshop on Acoustic Signal Enhancement (IWAENC) Best Paper Award 2017年　前島密賞 2015年　IEEE Automatic Speech

https://www.rd.ntt/organization/researcher/superior/s_012.html

Hirokazu Kameoka | NTT R&D Website

Award Finalist at 2005 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP

https://www.rd.ntt/e/organization/researcher/superior/s_025.html

音声情報処理 | NTT R&D Website

-based ASR" , In Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP

https://www.rd.ntt/hil/category/voice/

Computational Modeling Research Group | NTT Communication Science Laboratories | NTT R&D Website

TO ASSESS SUBJECTIVE IMPRESSIONS CONVEYED THROUGH SPEECH. European Signal Processing Conference

https://www.rd.ntt/e/cs/team_project/media/computational_modeling/

NTT Communication Science Laboratories Open House 2013 Speech separation with collaborative recorders - Probabilistic fusion of different recording devices -

Acoustic, Speech and Signal Processing (ICASSP), (to appear), 2013. M. Souden, K. Kinoshita, M. Delcroix, T

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media5/index_en.html

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea. Takuhiro kaneko (2024). Improving

https://www.rd.ntt/e/cs/team_project/media/recognition/

poster_en17.pdf

Conference on Acoustic, Speech and Signal Processing (ICASSP), 2013. [2] M. Souden, K. Kinoshita, T. Nakatani

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media5/poster_en17.pdf

事象モデリング研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

). LEARNING TO ASSESS SUBJECTIVE IMPRESSIONS CONVEYED THROUGH SPEECH. European Signal Processing Conference

https://www.rd.ntt/cs/team_project/media/computational_modeling/

Abstracts of plenary talks

dissemination of mobile communications, speech processing systems must be made robust with respect to

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/plenary_abst.html

poster_en_21.pdf

our speech processing technologies developed for conversational speech recognition. Specifically, our

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/21/poster_en_21.pdf

NTT Communication Science Laboratories Open House 2013

modeling approach to speech and audio signal processing - Hirokazu Kameoka, Media Information Laboratory

https://www.rd.ntt/cs/event/openhouse/2013/talk/research4/index_en.html

AI Hears Your Voice as if It Were Right Next to You-Audio Processing Framework for Separating Distant Sounds with Close-microphone Quality | NTT R&D Website

-microphone quality speech and noise must satisfy. It can then enable overall optimum processing by optimizing

https://www.rd.ntt/e/research/JN202208_19141.html

Listening to human speech in noisy reverberant environments | NTT Communication Science Laboratories | NTT R&D Website

Information Laboratory Signal Processing Research Group Listening to human speech in noisy reverberant

https://www.rd.ntt/e/cs/team_project/media/signal/research_media06.html

F04_leaf_e.pdf

Background The signal processing that separates and extracts the voice of a target speaker from an

https://www.rd.ntt/forum/2023/doc/F04_leaf_e.pdf

Speech Recognition for Computers | NTT Communication Science Laboratories | NTT R&D Website

Processing Research Group Signal Processing Research Group ＞ Speech Recognition for Computers Speech

https://www.rd.ntt/e/cs/team_project/media/signal/research_media05.html

kalman.dvi

corrupted speech signal with an additive noise is the only information available for processing. Kalman

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0012.pdf

Kenta Niwa | NTT R&D Website

International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 4609-4613, 2019. Kenta

https://www.rd.ntt/e/organization/researcher/special/s_061.html

WPE speech dereverberation

reverberation for automatic speech recognition," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 114-126

https://www.rd.ntt/cs/team_project/media/signal/wpe/references.html

Hiroshi Sawada | NTT R&D Website

accumulated according to real-world phenomena. In this page Awards 2022 IEEE Signal Processing Society

https://www.rd.ntt/e/organization/researcher/superior/s_007.html

"Speech Enhancement based on Linear Prediction Error Signals and Spectral Subtraction"

., “Enhancement of Reverberant Speech Using LP Residual Signal”, IEEE Trans, on Speech and Audio Processing, Vol

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0077.pdf

0037.pdf

ABSTRACT A speech enhancement scheme is presented integrating spatial and temporal signal processing

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0037.pdf

0064.pdf

International Confer- ence on Acoustics, Speech and Signal Processing (ICASSP), Orlando, FL, USA, May 2002, vol

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0064.pdf

0055.pdf

assumption, in accordance with the Central Limit Theorem (CLT), that the gaussianity of mixed speech signal

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0055.pdf

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

: A case study of far-field automatic speech recognition” has been published in IEEE Signal Processing

https://www.rd.ntt/e/cs/team_project/media/past_news.html

0009.pdf

Advanced Brain Signal Processing, BSI RIKEN, 2-1, Hirosawa, Wakoh-City, Saitama 351-0198, Japan

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0009.pdf

NTT Communication Science Laboratories Open House 2017

Exhibition Program 21 Turn-taking matters in conversation recognition Robust speech processing using speakers

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/21/index_en.html

main.dvi

Masahiro FURUKAWA, Yusuke HIOKA, Takuro EMA and Nozomu HAMADA Signal Processing Lab., School of Integrated

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0045.pdf

NTT Communication Science Laboratories Open House 2019

Acoustics, Speech, and Signal Processing (ICASSP), 2019. Poster Please click the icon to open the full-size

https://www.rd.ntt/cs/event/openhouse/2019/exhibition16/index_en.html

0005.pdf

to speech,” IEEE Trans. Signal Processing, vol. 49, no. 8, pp. 1614–1626, August 2001. [3] B. Widrow

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0005.pdf

0001.pdf

ON THE APPLICATION OF THE UNSCENTED KALMAN FILTER TO SPEECH PROCESSING Sharon Gannot Faculty of

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0001.pdf

Marc Delcroix | NTT R&D Website

Acoustics, Speech, and Signal Processing (ICASSP'18), April 2018. Delcroix, M., Hikichi, T. and Miyoshi, M

https://www.rd.ntt/organization/researcher/special/s_033.html

0082.pdf

,” IEEE Trans. Acous- tics, Speech and Signal Processing, vol. 28, pp. 137–145, December 1980. [2] Y

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0082.pdf

poster_en_17.pdf

intelligible native-like speech. We take a signal processing-based approach using our recently developed model

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/poster_en_17.pdf

スライド 1

Acoustics, Speech, and Signal Processing (ICASSP), 2019. Speech Recognition Semi-supervised training method

https://www.rd.ntt/cs/event/openhouse/2019/download/16_c_en.pdf

メディア認識研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea. Takuhiro kaneko (2024

https://www.rd.ntt/cs/team_project/media/recognition/

丹羽 健太 | NTT R&D Website

Splitting", In Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing

https://www.rd.ntt/organization/researcher/special/s_061.html

スライド 1

Proc. IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), pp. 5064-5068

https://www.rd.ntt/cs/event/openhouse/2019/download/17_c_en.pdf

澤田 宏 | NTT R&D Website

します。 目次 表彰 2022年 IEEE Signal Processing Society Distinguished Lecturer 2021年 APSIPA Sadaoki Furui Prize

https://www.rd.ntt/organization/researcher/superior/s_007.html

WPE speech dereverberation

speech recognition to prevent the prediction filter from distorting your target signal or amplifying

https://www.rd.ntt/cs/team_project/media/signal/wpe/config.html

NTT Communication Science Laboratories Open House 2019

Conference on Acoustics, Speech & Signal Processing (ICASSP), pp. 5064-5068, 2018. [2] T. von Neuman, K

https://www.rd.ntt/cs/event/openhouse/2019/exhibition17/index_en.html

メディア情報研究部　過去のニュース｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

speech enhancement with self-supervised representation space loss」が、論文誌Frontiers in Signal Processingに掲載

https://www.rd.ntt/cs/team_project/media/past_news.html