Ville Hautamäki
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Outlier detection using k-nearest neighbour graph
V Hautamäki, I Kärkkäinen, P Fränti
ICPR 2004, 430-433, 2004
Fast agglomerative clustering using a k-nearest neighbor graph
P Franti, O Virmajoki, V Hautamaki
IEEE transactions on pattern analysis and machine intelligence 28 (11), 1875 …, 2006
Improving k-means by outlier removal
V Hautamäki, S Cherednichenko, I Kärkkäinen, T Kinnunen, P Fränti
Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005
Time-series clustering by approximate prototypes
V Hautamaki, P Nykanen, P Franti
2008 19th International conference on pattern recognition, 1-4, 2008
Knee point detection in BIC for detecting the number of clusters
Q Zhao, V Hautamaki, P Fränti
International conference on advanced concepts for intelligent vision systems …, 2008
Reddots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research
T Kinnunen, M Sahidullah, M Falcone, L Costantini, RG Hautamäki, ...
2017 IEEE International conference on acoustics, speech and signal …, 2017
I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry
R González Hautamäki, T Kinnunen, V Hautamäki, T Leino, ...
Interspeech, 2013
Automatic versus human speaker verification: The case of voice mimicry
RG Hautamäki, T Kinnunen, V Hautamäki, AM Laukkanen
Speech Communication 72, 13-31, 2015
I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification
R Saeidi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ...
Annual Conference of the International Speech Communication Association …, 2013
Maximum a posteriori adaptation of the centroid model for speaker verification
V Hautamäki, T Kinnunen, I Kärkkäinen, J Saastamoinen, M Tuononen, ...
IEEE Signal Processing Letters 15, 162-165, 2008
Fusion of spectral feature sets for accurate speaker identification
T Kinnunen, V Hautamäki, P Fränti
9th conference speech and computer, 2004
Action space shaping in deep reinforcement learning
A Kanervisto, C Scheller, V Hautamäki
2020 IEEE conference on games (CoG), 479-486, 2020
From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification
P Rajan, A Afanasyev, V Hautamäki, T Kinnunen
Digital Signal Processing 31, 93-101, 2014
Factors affecting i-vector based foreign accent recognition: A case study in spoken Finnish
H Behravan, V Hautamäki, T Kinnunen
Speech Communication 66, 118-129, 2015
Sparse Classifier Fusion for Speaker Verification
V Hautamäki, T Kinnunen, F Sedlák, KA Lee, B Ma, H Li
IEEE Transactions on Audio, Speech and Language Processing, 2013
Comparative evaluation of maximum a posteriori vector quantization and Gaussian mixture models in speaker verification
T Kinnunen, J Saastamoinen, V Hautamäki, M Vinni, P Fränti
Pattern Recognition Letters 30 (4), 341-347, 2009
Utterance verification for text-dependent speaker recognition: a comparative assessment using the RedDots corpus
T Kinnunen, M Sahidullah, I Kukanov, H Delgado, M Todisco, A Sarkar, ...
ISCA (the International Speech Communication Association), 2016
Approaching human listener accuracy with modern speaker verification
V Hautamäki, T Kinnunen, M Nosratighods, K Lee, B Ma, H Li
Interspeech, 2010
Effect of multicondition training on i-vector PLDA configurations for speaker recognition.
P Rajan, T Kinnunen, V Hautamäki
Interspeech, 3694-3697, 2013
Random swap EM algorithm for Gaussian mixture models
Q Zhao, V Hautamäki, I Kärkkäinen, P Fränti
Pattern Recognition Letters 33 (16), 2120-2126, 2012
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