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1
A detection and classification method for nasalized vowels in noise using product spectrum based cepstra
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 1, 97-111
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2
Automatic prominent syllable detection with machine learning classifiers
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 4, 583-592
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3
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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4
Study of feature combination using HMM and SVM for multilingual Odiya speech emotion recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 3, 387-393
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Improving the self-adaptive voice activity detector for speaker verification using map adaptation and asymmetric tapers
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 18 (2015) 2, 195-203
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6
Abstract and lexically specific information in sound patterns: evidence from /r/-sandhi in rhotic and non-rhotic varieties of English
In: Language and speech. - London [u.a.] : Sage Publ. 58 (2015) 4, 522-548
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7
Keyword spotting exploiting long short-term memory
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 2, 252-265
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8
Automatic estimation of the first three subglottal resonances from adults' speech signals with application to speaker height estimation
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 1, 51-70
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9
Sparse multilayer perceptron for phoneme recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 1, 23-29
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10
Incremental word learning: efficient HMM initialization and large margin discriminative adaptation
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 9, 1029-1048
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11
A segmental non-parametric-based phoneme recognition approach at the acoustical level
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 4, 244-259
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12
Speech enhancement based on sparse code shrinkage employing multiple speech models
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 1, 108-118
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13
Analysis and design of Wavelet-Packet Cepstral coefficients for automatic speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 6, 814-835
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14
Exemplar-based sparse representation features: from TIMIT to LVCSR
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 8, 2598-2613
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15
Improving phone duration modelling using support vector regression fusion
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 1, 85-97
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16
Combining formant frequency based on variable order LPC coding with acoustic features for TIMIT phone recognition
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 4, 393-403
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17
Voice activity detection based on an unsupervised learning framework
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 8, 2624-2633
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18
Estimation of unknown speaker's height from speech
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 12 (2009) 4, 149-160
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19
The use of articulator motion information in automatic speech segmentation
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 7, 594-604
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20
The phonetic context of American English flapping: quantitative evidence
In: Language and speech. - London [u.a.] : Sage Publ. 51 (2008) 3, 245-266
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