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1
Factors influencing automatic segmental alignment of sociophonetic corpora
In: Corpora. - Edinburgh : Univ. Press 11 (2016) 3, 401-431
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2
Source and system features for phone recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 2, 257-270
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3
Talking condition recognition in stressful and emotional talking environments based on CSPHMM2s
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 1, 77-90
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4
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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5
Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 4, 495-511
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6
Filterbank optimization for robust ASR using GA and PSO
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 2, 191-201
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7
Emotion recognition from speech: a review
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 2, 99-117
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8
Using speech rhythm knowledge to improve dysarthric speech recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 1, 57-64
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9
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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10
Emotion recognition from speech using source, system, and prosodic features
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 2, 265-289
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11
Integration of multiple acoustic and language models for improved Hindi speech recognition system
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 2, 165-180
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12
Initialization of iterative-based speaker diarization systems for telephone conversations
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 2, 414-425
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13
Acoustic modeling using deep belief networks
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 14-22
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14
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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15
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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16
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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17
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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18
Automatic analysis of Mandarin accented English using phonological features
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 1, 40-54
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19
Boosting systems for large vocabulary continuous speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 2, 212-218
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20
Reducing bandwidth for robust distributed speech recognition in conditions of packet loss
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 7, 881-892
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