Tomi Kinnunen
Tomi Kinnunen
Associate Professor, University of Eastern Finland
Dirección de correo verificada de cs.joensuu.fi - Página principal
TítuloCitado porAño
An overview of text-independent speaker recognition: From features to supervectors
T Kinnunen, H Li
Speech Communication 52 (1), 12-40, 2010
14112010
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
3382015
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
2522005
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
1992015
Spectral Features for Automatic Text-Independent Speaker Recognition. Licentiate’s Thesis
T Kinnunen
University of Joensuu, Department of computer science, Finland, 2003
185*2003
Spectral features for automatic text-independent speaker recognition
T Kinnunen
Licentiatesthesis, Department of computer science, University of Joensuu, 2003
1792003
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
1482017
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
1462012
Eye-movements as a biometric
R Bednarik, T Kinnunen, A Mihaila, P Fränti
Scandinavian conference on image analysis, 780-789, 2005
1272005
Spoofing and countermeasures for automatic speaker verification.
NWD Evans, T Kinnunen, J Yamagishi
Interspeech, 925-929, 2013
1222013
A comparison of features for synthetic speech detection
M Sahidullah, T Kinnunen, C Hanilçi
ISCA (the International Speech Communication Association), 2015
1192015
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
1112012
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
1032013
Improving k-means by outlier removal
V Hautamäki, S Cherednichenko, I Kärkkäinen, T Kinnunen, P Fränti
Image Analysis, 219-227, 2005
1012005
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
902012
The NIST 2014 speaker recognition i-vector machine learning challenge
CS Greenberg, D Bansé, GR Doddington, D Garcia-Romero, JJ Godfrey, ...
Odyssey: The Speaker and Language Recognition Workshop, 224-230, 2014
892014
Comparison of clustering algorithms in speaker identification
T Kinnunen, T KILPELÄINEN, P FrÄnti
dim 1, 2, 2000
86*2000
ASVspoof: the automatic speaker verification spoofing and countermeasures challenge
Z Wu, J Yamagishi, T Kinnunen, C Hanilçi, M Sahidullah, A Sizov, ...
IEEE Journal of Selected Topics in Signal Processing 11 (4), 588-604, 2017
852017
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
852007
The voice conversion challenge 2018: Promoting development of parallel and nonparallel methods
J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, F Villavicencio, ...
arXiv preprint arXiv:1804.04262, 2018
842018
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