Deconstructing Human-assisted Video Transcription and Annotation for Legislative Proceedings

Thorsten Ruprechter; Foaad Khosmood; Christian Guetl

doi:10.1145/3395316

Deconstructing Human-assisted Video Transcription and Annotation for Legislative Proceedings

Digital Government: Research and Practice (DGOV) ◽

10.1145/3395316 ◽

2020 ◽

Vol 1 (3) ◽

pp. 1-24

Author(s):

Thorsten Ruprechter ◽

Foaad Khosmood ◽

Christian Guetl

Keyword(s):

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Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription

2013 IEEE Workshop on Automatic Speech Recognition and Understanding ◽

10.1109/asru.2013.6707758 ◽

2013 ◽

Cited By ~ 41

Author(s):

Hank Liao ◽

Erik McDermott ◽

Andrew Senior

Keyword(s):

Neural Network ◽

Large Scale ◽

Deep Neural Network ◽

Training Data ◽

Acoustic Modeling ◽

Supervised Training ◽

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On-the-fly topic adaptation for YouTube video transcription

10.21437/interspeech.2012-69 ◽

2012 ◽

Author(s):

Kapil Thadani ◽

Fadi Biadsy ◽

Dan Bikel

Keyword(s):

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Semantic Aware Video Transcription Using Random Forest Classifiers

Computer Vision – ECCV 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10590-1_50 ◽

2014 ◽

pp. 772-786 ◽

Cited By ~ 4

Author(s):

Chen Sun ◽

Ram Nevatia

Keyword(s):

Random Forest ◽

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