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Cross-language use of acoustic information for automatic speech recognition
Speech Communication
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10.1016/s0167-6393(01)00046-2
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2002
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Vol 38
(1-2)
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pp. 101-113
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Cited By ~ 13
Author(s):
C. Nieuwoudt
◽
E.C. Botha
Keyword(s):
Speech Recognition
◽
Automatic Speech Recognition
◽
Language Use
◽
Acoustic Information
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Cross Language
Download Full-text
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References
Cross-language adaptation of acoustic models in automatic speech recognition
1999 IEEE Africon. 5th Africon Conference in Africa (Cat. No.99CH36342)
◽
10.1109/afrcon.1999.820789
◽
1999
◽
Author(s):
C. Nieuwoudt
◽
E.C. Botha
Keyword(s):
Speech Recognition
◽
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◽
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◽
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Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition
2021 IEEE International Conference on Multimedia and Expo (ICME)
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10.1109/icme51207.2021.9428334
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2021
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Author(s):
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◽
Jianzong Wang
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◽
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...
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◽
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◽
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◽
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◽
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Automatic speech recognition at the University of Paris
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◽
1975
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Keyword(s):
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◽
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
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2016
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Cited By ~ 4
Author(s):
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◽
Jon Barker
Keyword(s):
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◽
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◽
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◽
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Using Clinician Annotations to Improve Automatic Speech Recognition of Stuttered Speech
10.21437/interspeech.2016-1388
◽
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◽
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◽
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◽
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◽
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◽
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Speech Recognition
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◽
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◽
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Keyword(s):
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Speech Recognition
◽
Automatic Speech Recognition
◽
Indian Languages
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Phoneme-to-Grapheme Conversion Based Large-Scale Pre-Training for End-to-End Automatic Speech Recognition
10.21437/interspeech.2020-1930
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2020
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Author(s):
Ryo Masumura
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Naoki Makishima
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Mana Ihori
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Akihiko Takashima
◽
Tomohiro Tanaka
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...
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Speech Recognition
◽
Automatic Speech Recognition
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Large Scale
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Contextual Recovery of Out-of-Lattice Named Entities in Automatic Speech Recognition
10.21437/interspeech.2019-2962
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◽
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◽
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BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example
10.21437/interspeech.2020-2560
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2020
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Author(s):
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◽
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Keyword(s):
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◽
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