Result for "Statistical Audio Signal Processing",102

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

of audio signal processing in recent years. However, the model employed in this approach has one

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

Hiroshi Sawada | NTT R&D Website

(Feb. 2006 - Feb. 2009) Member/Associate Member, the Audio and Acoustic Signal Processing Technical

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

Tomohiro Nakatani | NTT R&D Website

Processing, Tutorial, April 2012 Keywords Statistical Audio Signal Processing, Computational Auditory Scene

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

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

their outputs according to the statistical speech model. Unified framework of audio signal processing

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

Kenta Niwa | NTT R&D Website

", In Proceeding of IEEE Statistical Signal Processing Workshop (SSP 2018), pp. 80-84, 2018. Keywords

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

丹羽 健太 | NTT R&D Website

Computing for Heterogeneous Data Sets", In Proceeding of IEEE Statistical Signal Processing Workshop (SSP

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

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

acoustic signals Media Search Speech and Audio Signal Modeling High fidelity color reproduction and

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

Main Topics | NTT Communication Science Laboratories | NTT R&D Website

. Buru-Navi Sports Brain Science Media Information Science Media Search Speech and Audio Signal Modeling

https://www.rd.ntt/e/cs/research_topic/

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

/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), 32, 2213-2226. Daisuke

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

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

hosica03.dvi

statistical features,” in Proceeding of International Conference on Acoustics Speech and Signal Processing

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0213.pdf

NTT Communication Science Laboratories Open House 2013 Program

information from speech and audio signals - Generative modeling approach to speech and audio signal processing

https://www.rd.ntt/cs/event/openhouse/2013/program_en.html

ica03-2.dvi

this field by ob- serving that audio and visual data off a video stream exhibit some statistical

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0060.pdf

NTT R&D Website | NTT, Inc.

Basic research Fellow：Dr.Takehiro Moriya Research subject：Speech/audio signal processing and coding

https://www.rd.ntt/e/

paper_new4.dvi

new algorithm in the field of digital audio signal processing commonly con- sists of three development

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0015.pdf

paper.dvi

algorithm working in the fre- quency domain,” Signal Processing, vol. 80, no. 9, pp. 1733–1745, Sept. 2000

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0016.pdf

NTT Communication Science Laboratories Open House 2013 Schedule

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

https://www.rd.ntt/cs/event/openhouse/2013/schedule_en.html

ica2003.dvi

mix- ing, e.g., in processing of audio signal [25]. This paper will not provide a detailed discussion

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0214.pdf

Abstracts of plenary talks

algorithms will be demonstrated with audio samples. The Automatic DJ: An appealing and instructive signal

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

0008.pdf

determine the underlying statistical model of the speech amplitude. From the audio impression we favor �� X

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0008.pdf