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1
Exploiting future word contexts in neural network language models for speech recognition
Chen, X.; Liu, X.; Wang, Y.. - : Institute of Electrical and Electronics Engineers (IEEE), 2019
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2
Phonetic and graphemic systems for multi-genre broadcast transcription
Wang, Y.; Chen, X.; Gales, M.J.F.. - : IEEE, 2018
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3
Future word contexts in neural network language models
Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2018
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4
Use of graphemic lexicons for spoken language assessment
Knill, K.M.; Gales, M.J.F.; Kyriakopoulos, K.. - : International Speech Communication Association (ISCA), 2017
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5
Future word contexts in neural network language models
Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2017
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6
Investigating bidirectional recurrent neural network language models for speech recognition
Chen, X.; Ragni, A.; Liu, X.. - : International Speech Communication Association (ISCA), 2017
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7
Multi-language neural network language models
Ragni, A.; Dakin, E.; Chen, X.. - : International Speech Communication Association (ISCA), 2016
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8
Multilingual representations for low resource speech recognition and keyword search
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9
Unicode-based graphemic systems for limited resource languages
Gales, M.J.F.; Knill, K.M.; Ragni, A.. - : IEEE, 2015
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10
A language space representation for speech recognition
Ragni, A.; Gales, M.J.F.; Knill, K.M.. - : IEEE, 2015
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11
Paraphrastic language models
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 6, 1298-1316
OLC Linguistik
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12
Language independent and unsupervised acoustic models for speech recognition and keyword spotting
Knill, K.M.; Gales, M.J.F.; Ragni, A.. - : International Speech Communication Association (ISCA), 2014
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13
Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages
Rath, S.P.; Knill, K.M.; Ragni, A.. - : International Speech Communication Association (ISCA), 2014
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14
Data augmentation for low resource languages
Ragni, A.; Knill, K.M.; Rath, S.P.. - : International Speech Communication Association (ISCA), 2014
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15
Speech recognition and keyword spotting for low-resource languages : Babel project research at CUED
Gales, M.J.F.; Knill, K.M.; Ragni, A.. - : International Speech Communication Association (ISCA), 2014
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16
Use of contexts in language model interpolation and adaptation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 301-321
OLC Linguistik
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17
Language model cross adaptation for LVCSR system combination
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 4, 928-942
OLC Linguistik
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18
Importance sampling to compute likelihoods of noise-corrupted speech
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 322-349
OLC Linguistik
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19
Directed decision trees for generating complementary systems
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 3, 284-295
OLC Linguistik
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20
Issues with uncertainty decoding for noise robust automatic speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 4, 265-277
OLC Linguistik
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