Result for "Automatic Speech Recognition",96

Tomohiro Nakatani | NTT R&D Website

Enhancement (IWAENC) Best Paper Award 2017 Maejima Hisoka Award 2015 IEEE Automatic Speech Recognition and

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

中谷 智広 | NTT R&D Website

Society 2017年12月　General Chair, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2009年

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

NTT Communication Science Laboratories Open House 2014 Defeat reverberation: enemy of speech recognition - Advanced speech enhancement and recognition -

reduction and deep learning-based automatic speech recognition. Our proposed system greatly improves

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/20/index_en.html

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

Recognition for Computers [Japanese|English] Fast and highly accurate spontaneous speech recognition Automatic

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

poster_en_20.pdf

your speech recognizer - Neural network adaptation for automatic speech recognition - 【Conventional

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/20/poster_en_20.pdf

Speech information processing | NTT R&D Website

, Takahiro Shinozaki, "Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity

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

NTT Communication Science Laboratories Open House 2017

recognition Abstract Automatic speech recognition is used more and more often in our everyday life. However

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/20/index_en.html

Microsoft Word - paper0048.doc

presented. The method is effective for automatic speech recognition under conditions of multiple sound

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0048.pdf

音声情報処理 | NTT R&D Website

, Marc Delcroix, Takahiro Shinozaki, "Streaming End-to-End Target-Speaker Automatic Speech Recognition

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

Marc Delcroix | NTT R&D Website

2015 Best Paper Award Honorable Mention at the 2015 IEEE Automatic Speech Recognition and Understanding

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

WPE speech dereverberation

Automatic Speech Recognition and Understanding Workshop (ASRU), 2015. Other papers and links related to

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

NTT Communication Science Laboratories Open House 2014 How accurate are speech recognition results? - Estimating speech recognition accuracy without references -

performance of an automatic speech recognition (ASR) system is measured in terms of the recognition rate

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/21/index_en.html

poster_en18.pdf

Related works Contact 18 Transcribing every word whoever speaks Abstract----- Automatic speech

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media6/poster_en18.pdf

Speech Recognition Technologies for Creating Knowledge Resources from Communications｜NTT R&D Website

Speech Recognition Technologies for Creating Knowledge Resources from Communications｜NTT R&D

https://www.rd.ntt/e/research/JN202010_7482.html

NTT Communication Science Laboratories Open House 2019

autoencoders that share encoders and decoders with an automatic speech recognition (ASR) model to improve ASR

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

スライド 1

autoencoders that share encoders and decoders with an automatic speech recognition (ASR) model to improve ASR

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

poster_en.pdf

lectures by using speech recognition and machine translation technology. The system allows non-native

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/23/poster_en.pdf

NTT Communication Science Laboratories Open House 2013 Transcribing every word whoever speaks - Speech recognizers robust to casual speech variations -

every word whoever speaks - Speech recognizers robust to casual speech variations - Abstract Automatic

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media6/index_en.html

WPE speech dereverberation

for mobile multi-microphone devices," Proc. of IEEE Automatic Speech Recognition and Understanding

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

Ryo Masumura | NTT R&D Website

training data sets for various media processing including automatic speech recognition and natural language

https://www.rd.ntt/e/organization/researcher/special/s_035.html

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

automatic speech recognition (ASR) in a real world environment. Although many enhancement methods have

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

pp.dvi

.rosca@scr.siemens.com,akofmehl@ee.ethz.ch ABSTRACT Automatic methods to determine voiceprints in speech

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0177.pdf

NTT Communication Science Laboratories Open House 2016

- Abstract While automatic speech recognition (ASR) technology has been recently greatly improved and

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/19/index_en.html

Abstracts of plenary talks

environmental noise. In fact, in noisy environments the performance of speech coders or speech recognition

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

Marc Delcroix | NTT R&D Website

. "Far-Field Automatic Speech Recognition," tutorial article in the Proceedings of IEEE Zmolikova, K

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

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

& Takahiro Shinozaki (2023). Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity

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

NTT Communication Science Laboratories Open House 2014

speech intelligibility and automatic speech recognition performance. Even though reverberation is

https://www.rd.ntt/cs/event/openhouse/2014/talk/research2/index_en.html

NTT Communication Science Laboratories Open House 2019

Learning unknown objects from speech and vision - Crossmodal audio-visual concept discovery - Abstract In

https://www.rd.ntt/cs/event/openhouse/2019/exhibition20/index_en.html

poster_en.pdf

dialogue systems sometimes respond to user utterances in a wrong way because of automatic speech

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/15/poster_en.pdf

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

Target-Speaker Automatic Speech Recognition and Activity Detection. IEEE Access, 11, 13906-13917. 国際会議予稿

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

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

Conference (EUSIPCO), 2018, pp. 2514-2518. N. Hojo, H. Kameoka, K. Tanaka, and T. Kaneko, "Automatic speech

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

Human Behavior Recognition from Multimodal Information | NTT Communication Science Laboratories | NTT R&D Website

detection from images or videos Speech activity detection from audio signals Facial expression recognition

https://www.rd.ntt/e/cs/team_project/human/resonance/research_human06.html

スライド 1

Learning unknown objects from speech and vision - Crossmodal audio-visual concept discovery - In order for

https://www.rd.ntt/cs/event/openhouse/2019/download/20_c_en.pdf

NTT Communication Science Laboratories Open House 2018

. By applying such a hypothesis selection mechanism to the multiple hypotheses of automatic speech

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/index_en.html

NTT Communication Science Laboratories Open House 2016

sometimes respond to user utterances in a wrong way because of automatic speech recognition errors and

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/15/index_en.html

A Close Link Between "Hearing" and "Speaking" | NTT Communication Science Laboratories | NTT R&D Website

signals. Future Implications As automatic speech recognition technologies advance, the challenges are

https://www.rd.ntt/e/cs/team_project/human/smr/research_human02.html

NTT Communication Science Laboratories Open House 2017 Program

adaptation for automatic speech recognition Turn-taking matters in conversation recognition Robust speech

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

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

Award at the 2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). November 2025 The

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

スライド 1

multiple hypotheses of automatic speech recognition (ASR), we can find the best hypotheses and thus greatly

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/poster_en_17.pdf

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

presented at ASRU2025 (2025 IEEE Automatic Speech Recognition and Understanding Workshop), has been

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

NTT Communication Science Laboratories Open House 2016 Program

deep learning and signal processing that are making speech recognition leap forward - Takuya Yoshioka

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

0038.pdf

speech for noisy environments with application to automatic speech recognition,” Proc. of ICASSP, vol. 4

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0038.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

Diarization?」が国際会議2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU2025) に採録され、このたび掲載

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

NTT Communication Science Laboratories Open House 2013 Program

- Research on multi-speaker conversational speech recognition: past, present and future - Takaaki Hori, Media

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

talk_yoshioka.pdf

enhancement and recognition for mobile multi-microphone devices,” in Proc. IEEE Automatic Speech Recognition

https://www.rd.ntt/cs/event/openhouse/2016/talk/research1/talk_yoshioka.pdf

Microsoft Word - IWANNCE33_final.doc

. “The NOISEX-92 study on the effect of additive noise on automatic speech recognition”, Documentation

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0033.pdf

NTT Communication Science Laboratories Open House 2015 Program

- Advances in distant speech recognition by deep learning - Measurement of fluorescence by 9-eye camera

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

Natural language processing | NTT R&D Website

Hierarchical Encoder-Decoder Models", in Proceedings of the 2019 IEEE Automatic Speech Recognition and

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

0056.pdf

-end processing of ASR (Automatic Speech Recognition). AMNOR (Adaptive Microphone-array for NOise

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0056.pdf

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

Recognition Research Group Speech and Audio Signal Modeling Speech and Audio Signal Modeling [Japanese|English

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