Tomi Kinnunen
Tomi Kinnunen
Associate Professor, University of Eastern Finland
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TítuloCitado porAño
An overview of text-independent speaker recognition: From features to supervectors
T Kinnunen, H Li
Speech Communication 52 (1), 12-40, 2010
Spoofing and countermeasures for speaker verification: A survey
Z Wu, N Evans, T Kinnunen, J Yamagishi, F Alegre, H Li
speech communication 66, 130-153, 2015
Real-time speaker identification and verification
T Kinnunen, E Karpov, P Franti
IEEE Transactions on Audio, Speech, and Language Processing 14 (1), 277-288, 2005
Spectral Features for Automatic Text-Independent Speaker Recognition. Licentiate’s Thesis
T Kinnunen
University of Joensuu, Department of computer science, Finland, 2003
Spectral features for automatic text-independent speaker recognition
T Kinnunen
Licentiatesthesis, Department of computer science, University of Joensuu, 2003
ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge
Z Wu, T Kinnunen, N Evans, J Yamagishi, C Hanilçi, M Sahidullah, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech
T Kinnunen, ZZ Wu, KA Lee, F Sedlak, ES Chng, H Li
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Eye-movements as a biometric
R Bednarik, T Kinnunen, A Mihaila, P Fränti
Scandinavian conference on image analysis, 780-789, 2005
Low-variance multitaper MFCC features: a case study in robust speaker verification
T Kinnunen, R Saeidi, F Sedlák, KA Lee, J Sandberg, ...
IEEE Transactions on Audio, Speech, and Language Processing 20 (7), 1990-2001, 2012
The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection
T Kinnunen, M Sahidullah, H Delgado, M Todisco, N Evans, J Yamagishi, ...
ISCA (the International Speech Communication Association), 2017
Spoofing and countermeasures for automatic speaker verification.
NWD Evans, T Kinnunen, J Yamagishi
Interspeech, 925-929, 2013
Improving k-means by outlier removal
V Hautamäki, S Cherednichenko, I Kärkkäinen, T Kinnunen, P Fränti
Image Analysis, 219-227, 2005
A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data
T Kinnunen, P Rajan
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Comparison of clustering algorithms in speaker identification
T Kinnunen, T KILPELÄINEN, P FrÄnti
dim 1, 2, 2000
A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case
Z Wu, T Kinnunen, ES Chng, H Li, E Ambikairajah
Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012
I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification
R Saedi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ...
A comparison of features for synthetic speech detection
M Sahidullah, T Kinnunen, C Hanilçi
ISCA (the International Speech Communication Association), 2015
Voice activity detection using MFCC features and support vector machine
T Kinnunen, E Chernenko, M Tuononen, P Fränti, H Li
Int. Conf. on Speech and Computer (SPECOM07), Moscow, Russia 2, 556-561, 2007
Temporally weighted linear prediction features for tackling additive noise in speaker verification
R Saeidi, J Pohjalainen, T Kinnunen, P Alku
IEEE Signal Processing Letters 17 (6), 599-602, 2010
Multitaper MFCC and PLP features for speaker verification using i-vectors
MJ Alam, T Kinnunen, P Kenny, P Ouellet, D O’Shaughnessy
Speech communication 55 (2), 237-251, 2013
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