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

0059.pdf

separated speech, and improved accu- racy of automatic phone recognition on target speech. The preemphasis

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0059.pdf

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

@pino.datsi.fi.upm.es Abstract Speech processing and recognition are key technologies to produce smart

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

複数人会話理解｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Emotion Recognition Based on Large-Scale Automatic Speech Recognizer," Proc. ICASSP, 2025 R. Fukuda et al

https://www.rd.ntt/cs/team_project/media/signal/research_signal03.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

2025/12 【表彰】森谷准特別研究員、小川主任研究員らによる以下の論文が、国際会議 2025 IEEE Automatic Speech Recognition and Understanding

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

Major issues and research trends in the evolution of artificial intelligence (AI)｜NTT R&D Website

to “listen” and “speak,” NTT is conducting case study research on “speech recognition and spoken

https://www.rd.ntt/e/ai/0001.html

0062.pdf

accuracy of an Automatic Speech Recognition (ASR) in comparison to other noise reduction methods. 1

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0062.pdf

Communication with Desired Voice | NTT R&D Website

combine automatic speech recognition (ASR) and text-to-speech synthesis. This approach uses ASR to

https://www.rd.ntt/e/research/JN202009_6715.html

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

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

Creating "Shido Twin" by Using Another Me Technology | NTT R&D Website

, i.e., automatic body-motion generation and deep neural network-based text-to-speech synthesis

https://www.rd.ntt/e/research/JN202302_20937.html

Using Neural Networks to Enable Computers to Listen to Voices Selectively as Humans Do | NTT R&D Website

to hear." Many artificial-intelligence technologies, such as automatic speech recognition or machine

https://www.rd.ntt/e/research/JN202506_34173.html

Developing AI that Pays Attention to Who You Want to Listen to: Deep-learning-based Selective Hearing with SpeakerBeam｜NTT R&D Website

]. Another extension of SpeakerBeam consists of target-speech recognition, which outputs the transcription of

https://www.rd.ntt/e/research/JN202107_14481.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

, and the performance of automatic speech recognition deteriorates. In this article, we introduce the

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

Expressive Speech-synthesis Technology Supports People's Daily Lives | NTT R&D Website

include text-to-speech synthesis, voice conversion, automatic speech recognition, and speech analysis. He

https://www.rd.ntt/e/research/JN202504_33343.html

C20_パネル一覧0501

に合わせて振る舞いを 即座に変更・最適化する人工知能技 術の実現を目指します。 20 Neural network adaptation for automatic speech recognition

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/20/poster20.pdf

A Digital World of Humans and Society-Digital Twin Computing | NTT R&D Website

Speech recognition NTT laboratories have been researching for half a century how to accurately recognize

https://www.rd.ntt/e/research/JN20200117_h.html

iwaenc2003-3.dvi

usually contain reverberation, which degrades speech recognition performance. This is especially severe

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0049.pdf

2019_booklet_english.pdf

decoders with an automatic speech recognition (ASR) model to improve ASR performance using speech-only and

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

articleICA03.dvi

mixtures and an application in automatic speech recognition in a noisy environment,” IEEE Trans. on Sig

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0085.pdf

I Want to Create a World Like That of Astro Boy, Where People and Computers Share the Same Sound Space and Can Freely Cooperate with Each Other｜NTT R&D Website

Same Sound Space and Can Freely Cooperate with Each Other Automatic-speech-recognition technology has

https://www.rd.ntt/e/research/JN202201_16891.html

Standardization Trends Related to Environmental and Operations Technologies | NTT R&D Website

standardization trends of indicators used for application services. Speech-quality estimation technology (ITU-T

https://www.rd.ntt/e/research/JN202311_23706.html

ICA02

promising for speech recognition applications. 1. INTRODUCTION The original Hérault-Jutten (H-J) model [8,9

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0125.pdf

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

" and "Speaking" Human Behavior Recognition from Multimodal Information Visual Mechanisms for Perceiving

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

知能創発環境研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025. Hiroshi Sawada, Kazuo

https://www.rd.ntt/cs/team_project/icl/ls/

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025. Hiroshi Sawada, Kazuo

https://www.rd.ntt/e/cs/team_project/icl/ls/

自然言語処理 | NTT R&D Website

Automatic Speech Recognition and Understanding Workshop (ASRU 2019), pp.554-561, December 2019. Kyosuke

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

NTT R&D Forum 2019 Report｜NTT R&D Website

. Speech Recognition and Understanding (AI Supporting

https://www.rd.ntt/e/forum/2019/

Kyosuke Nishida | NTT R&D Website

-Rich Documents", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR

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

IOWN INTEGRAL | NTT R&D Website

SPEECH given by Shingo Kinoshita, Head of Research and Development Planning, on November 26th, 2024. NTT

https://www.rd.ntt/e/forum/2024/keynote_2.html

ica2003.dvi

, “Evaluation of casa and bss models for subband cocktail party speech recognition,” in Proceedings of ICA’2001

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

Technologies for Achieving Another Me｜NTT R&D Website

the generation model involves using automatic speech-recognition (ASR) technology to extract utterance

https://www.rd.ntt/e/research/JN202201_16956.html

Abstracts of all papers, ICA2003

spectral analysis which is commonly employed in speech recognition tasks. Independent Component Analysis in

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/abst.html

Abstracts of all papers, ICA2003

applied for the problem of voiced/unvoiced determination in speech signals and analysis of spectral

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/abst.htm

2020_booklet_en.pdf

achieve automatic recovery from ICT (information and communication technology)-system failures. Our method

https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet_en.pdf

進化を続ける音声認識エンジン「VoiceRex®」｜NTT R&D WebSite

. Masataki, and Y. Aono：“Neural Error Corrective Language Models for Automatic Speech Recognition、”Proc. of

https://www.rd.ntt/research/JN20190709_h.html

Latest Developments Concerning Grand Challenges to Implement the Digital Twin Computing Concept | NTT R&D Website

digital twins can be clarified. As a result, a common recognition is emerging: data-model interoperability

https://www.rd.ntt/e/research/JN202302_20933.html

oh2017_booklet.pdf

adaptation for automatic speech recognition (Marc Delcroix) E-mail: marc.delcroix(at)lab.ntt.co.jp [1] M

https://www.rd.ntt/cs/event/openhouse/2017/download/oh2017_booklet.pdf

Research on Display Image Optimization Based on Visual Models for Next-generation Interactive Media | NTT R&D Website

being conducted from brain science to computer vision, speech recognition, signal processing, and

https://www.rd.ntt/e/research/JN202204_17852.html

Dr.Naonori Ueda | NTT R&D Website

-level real nursing activity recognition using accelerometers," Math-for-industry Forum, November 5, 2013

https://www.rd.ntt/e/organization/researcher/fellow/f_003.html

0041.pdf

adaptive beamformers or can be used as a confidence measure in combina- tion with automatic speech

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0041.pdf

NTT R&D FORUM 2024 | NTT R&D Website

capacity of the venue. KEYNOTE SPEECH Day1Monday, November 25 1:30-2:10PM Solving real world problems with

https://www.rd.ntt/e/forum/2024/

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

an emotion-mediated willingness to buy model from advertising speech. Acoustical Science and

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

西田 京介 | NTT R&D Website

-Rich Documents", in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR

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

oh2016_booklet.pdf

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

https://www.rd.ntt/cs/event/openhouse/2016/download/oh2016_booklet.pdf

NTT R&D FORUM 2025 Event Report | NTT R&D Website

participants from outside the venue. KEYNOTE SPEECH Innovation in ComputingPowered by Photonic Technology

https://www.rd.ntt/e/forum/2025/

oh09_pamphlet.pdf

and Pattern Recognition (CVPR), 2009 : (Dan Mikami) t t t+1 - �0 - - �� - 2 B-1-4 Photo T. Yoshioka, T

https://www.rd.ntt/cs/event/openhouse/2009/oh09_pamphlet.pdf

ica03inv-tr2.dvi

data [1], [62], [64] and speech data [65], but interpretation of the results is somewhat difficult

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0209.pdf