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Arousal and valence prediction in spontaneous emotional speech: felt versus perceived emotion.

, , , and . INTERSPEECH, page 2027-2030. ISCA, (2009)

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Improved speaker recognition when using i-vectors from multiple speech sources., and . ICASSP, page 5460-5463. IEEE, (2011)Source-normalised-and-weighted LDA for robust speaker recognition using i-vectors., and . ICASSP, page 5456-5459. IEEE, (2011)Large-Scale Speaker Diarization for Long Recordings and Small Collections., and . IEEE Trans. Audio, Speech & Language Processing, 20 (2): 404-413 (2012)Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006., , , , , , , , , and . IEEE Trans. Audio, Speech & Language Processing, 15 (7): 2072-2084 (2007)Speaker age estimation using i-vectors., , , and . Eng. Appl. of AI, (2014)Automatic stress detection in emergency (telephone) calls., , , and . IJIDSS, 4 (2): 148-168 (2011)Design and characterization of the non-native military air traffic communications database (nnMATC)., , , and . INTERSPEECH, page 2417-2420. ISCA, (2007)Within-speaker variability of the word error rate for a continuous speech recognition system., and . EUROSPEECH, ISCA, (1997)Age Estimation from Telephone Speech using i-vectors., , , and . INTERSPEECH, page 506-509. ISCA, (2012)Objective and subjective evaluation of the acoustic models of a continuous speech recognition system., and . EUROSPEECH, ISCA, (1999)