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1
Joint training of non-negative Tucker decomposition and discrete density hidden Markov models
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 4, 969-988
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2
Vocabulary expansion through automatic abbreviation generation for Chinese voice search
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 5, 321-335
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3
Tree distributions approximation model for robust discrete speech recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 4, 455-462
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4
WFST enabled solutions to ASR problems: beyond HMM decoding
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 2, 551-564
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5
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 30-42
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6
Deep and wide: multiple layers in automatic speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 7-13
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7
Bayesian sensing hidden Markov models
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 43-54
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8
MLN-based Bangla ASR using context sensitive triphone HMM
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 3, 183-191
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9
Large-margin estimation of Hidden Markov models with second-order cone programming for speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 6, 1652-1664
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10
Joint acoustic and language modeling for speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 3, 223-235
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11
Discriminative keyword spotting
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 4, 317-329
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12
Cross-validation and aggregated EM training for robust parameter estimation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 22 (2008) 2, 185-195
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13
A comparison of grapheme and phoneme-based units for Spanish spoken term detection
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 11-12, 980-991
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14
Evaluation of the robustness of the polynomial segment models to noisy environments with unsupervised adaptation
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 10, 769-781
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15
Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 21 (2007) 1, 153-173
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16
Development of the compact English LVCSR acoustic model for embedded entertainment robot applications
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 10 (2007) 2-3, 63-74
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17
Trajectory clustering for solving the trajectory folding problem in automatic speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 4, 1425-1434
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18
Automatic determination of acoustic model topology using variational Bayesian estimation and clustering for large vocabulary continuous speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 3, 855-872
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19
User-customized password speaker verification using multiple reference and background models
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 9, 1200-1213
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20
A novel approach for modeling non-keyword intervals in a keyword spotter exploiting acoustic similarities of languages
In: Speech communication. - Amsterdam [u.a.] : Elsevier 45 (2005) 4, 373-386
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