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Study on Automated Audio Descriptions Overlapping Live Television Commentary

Computers Helping People with Special Needs, p.220-224

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Real-time broadcast closed captioning for hearing impaired

THE JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN, 2018/03/01, Vol.74(3), pp.163-170

Sato, Shoei

2018

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New Real-Time Closed-Captioning System for Japanese Broadcast News Programs

Computers Helping People with Special Needs, p.651-654

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4. Real-time Captioning for Live Broadcast

Eizō Jōhō Media Gakkaishi, 2015, Vol.69 (4), p.300-304

Sato, Shoei

2015

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Learning Speech Variability in Discriminative Acoustic Model Adaptation

IEICE Transactions on Information and Systems, 2010/09/01, Vol.E93.D(9), pp.2370-2378

2010

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Development of Transcription System Using Speech Recognition for Program Production

Eizō Jōhō Media Gakkaishi, 2021, Vol.75 (1), p.118-124

2021

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Optimization of topic estimation for the domain adapted neural network language model

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3115-3116

2016

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End-to-end neural network modeling for Japanese speech recognition

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3116-3116

2016

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Online Speech Detection and Dual-Gender Speech Recognition for Captioning Broadcast News

IEICE transactions on information and systems, 2007-08, Vol.E90-D (8), p.1286-1291

2007

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Bi-Spectral Acoustic Features for Robust Speech Recognition

IEICE Transactions on Information and Systems, 2008/03/01, Vol.E91.D(3), pp.631-634

2008

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Development of Transcription System Using Speech Recognition for Program Production

Eizō Jōhō Media Gakkaishi, 2020, Vol.74 (4), p.729-735

2020

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聴覚障害者のための生放送番組への字幕付与システム

日本音響学会誌, 2018/03/01, Vol.74(3), pp.163-170

佐藤, 庄衛

2018

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Word Error Rate Minimization Using an Integrated Confidence Measure

IEICE transactions on information and systems, 2007-05, Vol.E90-D (5), p.835-843

2007

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Robust Speech Recognition by Using Compensated Acoustic Scores

IEICE transactions on information and systems, 2006-03, Vol.E89-D (3), p.915-921

SATO, S.

2006

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Mutual Information Based Dynamic Integration of Multiple Feature Streams for Robust Real-Time LVCSR

IEICE Transactions on Information and Systems, 2008/03/01, Vol.E91.D(3), pp.815-824

2008

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Comparison of unsupervised sequence adaptations for deep neural networks

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5860-5864

2016

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3. Automatic Audio Description Generation System for Olympics

Eizō Jōhō Media Gakkaishi, 2017, Vol.71 (1), p.55-56

2017

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Comparison of Tied-Mixture and State-Clustered HMMs with Respect to Recognition Performance and Training Method

Journal of information technology research, 2014-07, Vol.7 (3), p.1-17

2014

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Learning Speech Variability in Discriminative Acoustic Model Adaptation : Processing natural speech variability for improved verbal human-computer interaction

IEICE transactions on information and systems, 2010, Vol.93 (9), p.2370-2378

2010

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Acoustic model adaptation by selective training using two-stage clustering

Electronics & communications in Japan. Part 3, Fundamental electronic science, 2005-02, Vol.88 (2), p.41-51

2005

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Low-latency speaker diarization based on Bayesian information criterion with multiple phoneme classes

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4189-4192

2012

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Learning task-dependent speech variability in discriminative acoustic model adaptation

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4910-4913

2010

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Dynamic approaches for real-time LVCSR(Abstracts of Recent Doctoral Dissertations on Acoustics)

日本音響学会誌, 2009/12/01, Vol.65(12), pp.637

佐藤, 庄衛

2009

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Bi-Spectral Acoustic Features for Robust Speech Recognition : Robust speech processing in realistic environments

IEICE transactions on information and systems, 2008, Vol.91 (3), p.631-634

2008

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Real-Time Closed-Captioning System Using Speech Recognition of Direct Program Sound and Re-Spoken Utterances

Eizō Jōhō Media Gakkaishi, 2009-03, Vol.63 (3), p.331-338

2009

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Study on Automated Audio Descriptions Overlapping Live Television Commentary

Real-time broadcast closed captioning for hearing impaired

New Real-Time Closed-Captioning System for Japanese Broadcast News Programs

4. Real-time Captioning for Live Broadcast

Learning Speech Variability in Discriminative Acoustic Model Adaptation

Development of Transcription System Using Speech Recognition for Program Production

Optimization of topic estimation for the domain adapted neural network language model

End-to-end neural network modeling for Japanese speech recognition

Online Speech Detection and Dual-Gender Speech Recognition for Captioning Broadcast News

Bi-Spectral Acoustic Features for Robust Speech Recognition

Development of Transcription System Using Speech Recognition for Program Production

聴覚障害者のための生放送番組への字幕付与システム

Word Error Rate Minimization Using an Integrated Confidence Measure

Robust Speech Recognition by Using Compensated Acoustic Scores

Mutual Information Based Dynamic Integration of Multiple Feature Streams for Robust Real-Time LVCSR

Comparison of unsupervised sequence adaptations for deep neural networks

3. Automatic Audio Description Generation System for Olympics

Comparison of Tied-Mixture and State-Clustered HMMs with Respect to Recognition Performance and Training Method

Learning Speech Variability in Discriminative Acoustic Model Adaptation : Processing natural speech variability for improved verbal human-computer interaction

Acoustic model adaptation by selective training using two-stage clustering

Low-latency speaker diarization based on Bayesian information criterion with multiple phoneme classes

Learning task-dependent speech variability in discriminative acoustic model adaptation

Dynamic approaches for real-time LVCSR(Abstracts of Recent Doctoral Dissertations on Acoustics)

Bi-Spectral Acoustic Features for Robust Speech Recognition : Robust speech processing in realistic environments

Real-Time Closed-Captioning System Using Speech Recognition of Direct Program Sound and Re-Spoken Utterances

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