-
1
-
-
84874556693
-
Biometric applications related to human beings: there is life beyond security
-
Faundez-Zanuy M, Hussain A, Mekyska J, Sesa-Nogueras E, Monte-Moreno E, Esposito A, Chetouani M, Garre-Olmo J, Abel A, Smékal Z, Lopez-de-Ipiña K. Biometric applications related to human beings: there is life beyond security. Cognit Comput. 2013;5(1):136–51.
-
(2013)
Cognit Comput
, vol.5
, Issue.1
, pp. 136-151
-
-
Faundez-Zanuy, M.1
Hussain, A.2
Mekyska, J.3
Sesa-Nogueras, E.4
Monte-Moreno, E.5
Esposito, A.6
Chetouani, M.7
Garre-Olmo, J.8
Abel, A.9
Smékal, Z.10
Lopez-de-Ipiña, K.11
-
2
-
-
0033884858
-
Speaker verification using adapted Gaussian mixture models
-
Reynolds DA, Quatieri TF, Dunn RB. Speaker verification using adapted Gaussian mixture models. Digit Signal Proc. 2000;10(1–3):19–41.
-
(2000)
Digit Signal Proc
, vol.10
, Issue.1-3
, pp. 19-41
-
-
Reynolds, D.A.1
Quatieri, T.F.2
Dunn, R.B.3
-
3
-
-
0029209272
-
Robust text-independent speaker identification using Gaussian mixture speaker models
-
Reynolds DA, Rose RC. Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Trans Speech Audio Process. 1995;3(1):72–83.
-
(1995)
IEEE Trans Speech Audio Process
, vol.3
, Issue.1
, pp. 72-83
-
-
Reynolds, D.A.1
Rose, R.C.2
-
4
-
-
84870448053
-
Speaker-characterized emotion recognition using online and iterative speaker adaptation
-
Kim J-B, Park J-S, Oh Y-H. Speaker-characterized emotion recognition using online and iterative speaker adaptation. Cognit Comput. 2012;4(4):398–408.
-
(2012)
Cognit Comput
, vol.4
, Issue.4
, pp. 398-408
-
-
Kim, J.-B.1
Park, J.-S.2
Oh, Y.-H.3
-
5
-
-
54549099008
-
Investigation on LP-residual representations for speaker identification
-
Chetouani M, Faundez-Zanuy M, Gas B, Zarader JL. Investigation on LP-residual representations for speaker identification. Pattern Recogn. 2009;42(3):487–94.
-
(2009)
Pattern Recogn
, vol.42
, Issue.3
, pp. 487-494
-
-
Chetouani, M.1
Faundez-Zanuy, M.2
Gas, B.3
Zarader, J.L.4
-
6
-
-
29044444825
-
Support vector machines for speaker and language recognition
-
Campbell WM, Campbell JP, Reynolds DA, Singer E, Torres-Carrasquillo PA. Support vector machines for speaker and language recognition. Comput Speech Lang. 2006;20(2–3):210–29.
-
(2006)
Comput Speech Lang
, vol.20
, Issue.2-3
, pp. 210-229
-
-
Campbell, W.M.1
Campbell, J.P.2
Reynolds, D.A.3
Singer, E.4
Torres-Carrasquillo, P.A.5
-
7
-
-
84890439886
-
GFM-based methods for speaker identification
-
PID: 23193244
-
Bhardwaj S, Srivastava S, Hanmandlu M, Gupta JRP. GFM-based methods for speaker identification. IEEE Trans Cybern. 2013;43(3):1047–58.
-
(2013)
IEEE Trans Cybern
, vol.43
, Issue.3
, pp. 1047-1058
-
-
Bhardwaj, S.1
Srivastava, S.2
Hanmandlu, M.3
Gupta, J.R.P.4
-
8
-
-
78649328053
-
Survey on speech emotion recognition: features, classification schemes, and databases
-
Ayadi ME, Kamel MS, Karray F. Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recogn. 2011;44(3):572–87.
-
(2011)
Pattern Recogn
, vol.44
, Issue.3
, pp. 572-587
-
-
Ayadi, M.E.1
Kamel, M.S.2
Karray, F.3
-
10
-
-
84876449733
-
Emotion recognition improvement using normalized formant. supplementary features by hybrid of DTW-MLP-GMM model
-
Gharavian D, Sheikhan M, Ashoftedel F. Emotion recognition improvement using normalized formant. supplementary features by hybrid of DTW-MLP-GMM model. Neural Comput Appl. 2013;22(6):1181–91.
-
(2013)
Neural Comput Appl
, vol.22
, Issue.6
, pp. 1181-1191
-
-
Gharavian, D.1
Sheikhan, M.2
Ashoftedel, F.3
-
11
-
-
84894634753
-
Class-specific multiple classifiers scheme to recognize emotions from speech signals
-
Milton A., Tamil Selvi S. Class-specific multiple classifiers scheme to recognize emotions from speech signals. Comput Speech Lang. 2013. doi:10.1016/j.csl.2013.08.004.
-
(2013)
Comput Speech Lang
-
-
Milton, A.1
Tamil Selvi, S.2
-
12
-
-
84884611357
-
Compensating for speaker or lexical variabilities in speech for emotion recognition
-
Mariooryad S, Busso C. Compensating for speaker or lexical variabilities in speech for emotion recognition. Speech Commun. 2014;57:1–12. doi:10.1016/j.specom.2013.07.
-
(2014)
Speech Commun
, vol.57
, pp. 1-12
-
-
Mariooryad, S.1
Busso, C.2
-
13
-
-
77950029338
-
Voice conversion by mapping the speaker-specific features using pitch synchronous approach
-
Rao KS. Voice conversion by mapping the speaker-specific features using pitch synchronous approach. Comput Speech Lang. 2010;24(3):474–94.
-
(2010)
Comput Speech Lang
, vol.24
, Issue.3
, pp. 474-494
-
-
Rao, K.S.1
-
14
-
-
84902548006
-
On the impact of excitation and spectral parameters for expressive statistical parametric speech synthesis
-
Maia R, Akamine M. On the impact of excitation and spectral parameters for expressive statistical parametric speech synthesis. Comput Speech Lang. 2013. doi:10.1016/j.csl.2013.10.001.
-
(2013)
Comput Speech Lang
-
-
Maia, R.1
Akamine, M.2
-
15
-
-
67650486451
-
Spectrum modification for emotional speech synthesis
-
Esposito A, Hussain A, Marinaro M, Martone R, (eds), Springer, Berlin:
-
Přibilová A, Přibil J. Spectrum modification for emotional speech synthesis. In: Esposito A, Hussain A, Marinaro M, Martone R, editors. Multimodal signals: cognitive and algorithmic issues. LNAI 5398. Berlin: Springer; 2009. p. 232–41.
-
(2009)
Multimodal signals: cognitive and algorithmic issues. LNAI 5398
, pp. 232-241
-
-
Přibilová, A.1
Přibil, J.2
-
16
-
-
77952039799
-
Harmonic model for female voice emotional synthesis
-
Fierrez J, Ortega-Garcia J, Esposito A, Drygajlo A, Faundez-Zanuy M, (eds), Springer, Berlin:
-
Přibilová A, Přibil J. Harmonic model for female voice emotional synthesis. In: Fierrez J, Ortega-Garcia J, Esposito A, Drygajlo A, Faundez-Zanuy M, editors. Biometric ID management and multimodal communication. LNCS 5707. Berlin: Springer; 2009. p. 41–8.
-
(2009)
Biometric ID management and multimodal communication. LNCS 5707
, pp. 41-48
-
-
Přibilová, A.1
Přibil, J.2
-
18
-
-
0037384712
-
Vocal communication of emotion: a review of research paradigms
-
Scherer KR. Vocal communication of emotion: a review of research paradigms. Speech Commun. 2003;40(1–2):227–56.
-
(2003)
Speech Commun
, vol.40
, Issue.1-2
, pp. 227-256
-
-
Scherer, K.R.1
-
19
-
-
80052706006
-
Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak
-
Habernal I, Matoušek V, (eds), Springer, Berlin:
-
Přibil J, Přibilová A. Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak. In: Habernal I, Matoušek V, editors. Text, speech and dialogue. LNAI 6836. Berlin: Springer; 2011. p. 299–306.
-
(2011)
Text, speech and dialogue. LNAI 6836
, pp. 299-306
-
-
Přibil, J.1
Přibilová, A.2
-
20
-
-
80051635711
-
Comparison of spectral and prosodic parameters of male and female emotional speech in Czech and Slovak
-
Přibil J, Přibilová A. Comparison of spectral and prosodic parameters of male and female emotional speech in Czech and Slovak. In: Proceedings of the IEEE international conference on acoustics, speech, and signal processing (ICASSP); 2011, p. 4720–3.
-
In: Proceedings of the IEEE international conference on acoustics, speech, and signal processing (ICASSP)
, vol.2011
, pp. 4720-4723
-
-
Přibil, J.1
Přibilová, A.2
-
21
-
-
84867336595
-
Automatic speaker age and gender recognition using acoustic and prosodic level information fusion
-
Li M, Han KJ, Narayan S. Automatic speaker age and gender recognition using acoustic and prosodic level information fusion. Comput Speech Lang. 2013;27(1):151–67.
-
(2013)
Comput Speech Lang
, vol.27
, Issue.1
, pp. 151-167
-
-
Li, M.1
Han, K.J.2
Narayan, S.3
-
22
-
-
84887051130
-
Evaluation of influence of spectral and prosodic features on GMM classification of Czech and Slovak emotional speech
-
Přibil J, Přibilová A. Evaluation of influence of spectral and prosodic features on GMM classification of Czech and Slovak emotional speech. EURASIP J Audio Speech Music Process. 2013;2013(8):1–22.
-
(2013)
EURASIP J Audio Speech Music Process
, vol.2013
, Issue.8
, pp. 1-22
-
-
Přibil, J.1
Přibilová, A.2
-
23
-
-
82955173836
-
Influence of visual stimuli on evaluation of converted emotional speech by listening tests
-
Esposito A, Vinciarelli A, Vicsi K, Pelachaud C, Nijholt A, (eds), Springer, Berlin:
-
Přibil J, Přibilová A. Influence of visual stimuli on evaluation of converted emotional speech by listening tests. In: Esposito A, Vinciarelli A, Vicsi K, Pelachaud C, Nijholt A, editors. Analysis of verbal and nonverbal communication and enactment. LNCS 6800. Berlin: Springer; 2011. p. 378–92.
-
(2011)
Analysis of verbal and nonverbal communication and enactment. LNCS 6800
, pp. 378-392
-
-
Přibil, J.1
Přibilová, A.2
-
24
-
-
57349126313
-
Inter-coder agreement for computational linguistics
-
Artstein R, Poesio M. Inter-coder agreement for computational linguistics. Comput Linguist. 2008;4:555–96. doi:10.1162/coli.07-034-R2.
-
(2008)
Comput Linguist
, vol.4
, pp. 555-596
-
-
Artstein, R.1
Poesio, M.2
-
25
-
-
84902364868
-
-
Siegert I, Böck R, Wendemuth A. Inter-rater reliability for emotion annotation in human-computer interaction—comparison and methodological improvements. J Multimodal User Interfaces Special Issue From Multimodal Analysis to Real-Time Interactions with Virtual Agents, doi:, Springer, 2013 (online)
-
Siegert I, Böck R, Wendemuth A. Inter-rater reliability for emotion annotation in human-computer interaction—comparison and methodological improvements. J Multimodal User Interfaces Special Issue From Multimodal Analysis to Real-Time Interactions with Virtual Agents, doi:10.1007/s12193-013-0129-9, Springer, 2013 (online).
-
-
-
-
26
-
-
33745202280
-
-
Burkhardt F, Paeschke A, Rolfes M, Sendlmeier W, Weiss B. A database of German emotional speech. In Proceedings of INTERSPEECH 2005, Lisbon, Portugal, p. 1517–1520.
-
(2005)
Lisbon, Portugal
, pp. 1517-1520
-
-
Burkhardt, F.1
Paeschke, A.2
Rolfes, M.3
Sendlmeier, W.4
-
27
-
-
67650474760
-
Recognition of emotions in german speech using Gaussian Mixture models
-
Esposito A, Hussain A, Marinaro M, Martone R, (eds), Springer, Berlin:
-
Vondra M, Vích R. Recognition of emotions in german speech using Gaussian Mixture models. In: Esposito A, Hussain A, Marinaro M, Martone R, editors. Multimodal signals: cognitive and algorithmic issues. LNAI 5398. Berlin: Springer; 2009. p. 256–63.
-
(2009)
Multimodal signals: cognitive and algorithmic issues. LNAI 5398
, pp. 256-263
-
-
Vondra, M.1
Vích, R.2
-
28
-
-
77956401353
-
Class-level spectral features for emotion recognition
-
PID: 23794771
-
Bitouk D, Verma R, Nenkova A. Class-level spectral features for emotion recognition. Speech Commun. 2010;52:613–25.
-
(2010)
Speech Commun
, vol.52
, pp. 613-625
-
-
Bitouk, D.1
Verma, R.2
Nenkova, A.3
-
29
-
-
84886500247
-
Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines
-
Dileep AD, Sekhar CC. Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Speech Commun. 2014;57:126–43.
-
(2014)
Speech Commun
, vol.57
, pp. 126-143
-
-
Dileep, A.D.1
Sekhar, C.C.2
-
30
-
-
84887669226
-
Novel approach in speaker identification using SVM and GMM
-
Bourouba H, Korba CA, Djemili R. Novel approach in speaker identification using SVM and GMM. Control Eng Appl Inform. 2013;15(3):87–95.
-
(2013)
Control Eng Appl Inform
, vol.15
, Issue.3
, pp. 87-95
-
-
Bourouba, H.1
Korba, C.A.2
Djemili, R.3
-
31
-
-
84864723353
-
Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema
-
Kotti M, Paternò F. Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema. Int J Speech Technol. 2012;15:131–50. doi:10.1007/s10772-012-9127-7.
-
(2012)
Int J Speech Technol
, vol.15
, pp. 131-150
-
-
Kotti, M.1
Paternò, F.2
-
32
-
-
80053925819
-
Cross-corpus acoustic emotion recognition: variances and strategies
-
Schuller B, Vlasenko B, Eyben F, Wollmer M, Stuhlsatz A, Wendemuth A, Rigoll G. Cross-corpus acoustic emotion recognition: variances and strategies. IEEE Trans Affect Comput. 2010;1(2):119–31.
-
(2010)
IEEE Trans Affect Comput
, vol.1
, Issue.2
, pp. 119-131
-
-
Schuller, B.1
Vlasenko, B.2
Eyben, F.3
Wollmer, M.4
Stuhlsatz, A.5
Wendemuth, A.6
Rigoll, G.7
-
33
-
-
84916235222
-
-
Nabney IT. Netlab Pattern Analysis Toolbox. Copyright (1996–2001). Retrieved 16 Feb 2012, from
-
Nabney IT. Netlab Pattern Analysis Toolbox. Copyright (1996–2001). Retrieved 16 Feb 2012, from http://www.mathworks.com/matlabcentral/fileexchange/2654-netlab.
-
-
-
-
34
-
-
33947164164
-
An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech
-
Shami M, Verhelst W. An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech. Speech Commun. 2007;49:201–12.
-
(2007)
Speech Commun
, vol.49
, pp. 201-212
-
-
Shami, M.1
Verhelst, W.2
-
35
-
-
84884955838
-
SVM-based detection of misannotated words in read speech corpora
-
Habernal I, Matoušek V, (eds), Springer, Berlin:
-
Matoušek J, Tihelka D. SVM-based detection of misannotated words in read speech corpora. In: Habernal I, Matoušek V, editors. Text, speech, and dialogue. LNCS 8082. Berlin: Springer; 2013. p. 457–64.
-
(2013)
Text, speech, and dialogue. LNCS 8082
, pp. 457-464
-
-
Matoušek, J.1
Tihelka, D.2
|