A Study on the Automatic Speech Recognition Errors of Korean Plosives

The Journal of Yeongju Language & Literature ◽

10.30774/yjll.2021.10.49.5 ◽

2021 ◽

Vol 49 ◽

pp. 5-33

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition Errors

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Exploiting automatic speech recognition errors to enhance partial and synchronized caption for facilitating second language listening

Computer Speech & Language ◽

10.1016/j.csl.2017.11.001 ◽

2018 ◽

Vol 49 ◽

pp. 17-36 ◽

Author(s):

Maryam Sadat Mirzaei ◽

Kourosh Meshgi ◽

Tatsuya Kawahara

Keyword(s):

Second Language ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Second Language Listening ◽

Recognition Errors

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Detecting listening difficulty for second language learners using Automatic Speech Recognition errors

10.21437/slate.2017-27 ◽

2017 ◽

Author(s):

Maryam Sadat Mirzaei ◽

Kourosh Meshgi ◽

Tatsuya Kawahara

Keyword(s):

Second Language ◽

Speech Recognition ◽

Language Learners ◽

Automatic Speech Recognition ◽

Second Language Learners ◽

Recognition Errors

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Automatic Speech Recognition Errors Detection and Correction: A Review

Procedia Computer Science ◽

10.1016/j.procs.2018.03.005 ◽

2018 ◽

Vol 128 ◽

pp. 32-37 ◽

Author(s):

Rahhal Errattahi ◽

Asmaa El Hannani ◽

Hassan Ouahmane

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition Errors

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Automatic speech recognition errors detection using supervised learning techniques

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) ◽

10.1109/aiccsa.2016.7945669 ◽

2016 ◽

Author(s):

Rahhal Errattahi ◽

Asmaa El Hannani ◽

Hassan Ouahmane ◽

Thomas Hain

Keyword(s):

Speech Recognition ◽

Supervised Learning ◽

Automatic Speech Recognition ◽

Learning Techniques ◽

Recognition Errors

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Leveraging automatic speech recognition errors to detect challenging speech segments in TED talks

CALL communities and culture – short papers from EUROCALL 2016 ◽

10.14705/rpnet.2016.eurocall2016.581 ◽

2016 ◽

pp. 313-318 ◽

Author(s):

Maryam Sadat Mirzaei ◽

Kourosh Meshgi ◽

Tatsuya Kawahara

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition Errors ◽

Speech Segments ◽

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Detecting and Correcting Automatic Speech Recognition Errors with A New Model

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-2010-117 ◽

2021 ◽

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

New Model ◽

Recognition Errors

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Automatic speech recognition at the University of Paris

PsycEXTRA Dataset ◽

10.1037/e506252009-002 ◽

1975 ◽

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

University Of Paris ◽

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Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions

10.21437/interspeech.2016-1275 ◽

2016 ◽

Author(s):

Michael I. Mandel ◽

Jon Barker

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Spatial Clustering ◽

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Using Clinician Annotations to Improve Automatic Speech Recognition of Stuttered Speech

10.21437/interspeech.2016-1388 ◽

2016 ◽

Author(s):

Peter A. Heeman ◽

Rebecca Lunsford ◽

Andy McMillin ◽

J. Scott Yaruss

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition

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Multi-Scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions

10.21437/interspeech.2017-426 ◽

2017 ◽

Author(s):

Manoj Kumar ◽

Daniel Bone ◽

Kelly McWilliams ◽

Shanna Williams ◽

Thomas D. Lyon ◽

...

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Context Adaptation ◽

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