Ville Hautamäki
Ville Hautamäki
Dirección de correo verificada de - Página principal
TítuloCitado porAño
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
Scandinavian Conference on Image Analysis, 978-987, 2005
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
Time-series clustering by approximate prototypes
V Hautamaki, P Nykanen, P Franti
2008 19th International Conference on Pattern Recognition, 1-4, 2008
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, ...
Interspeech, 2013
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
Fusion of spectral feature sets for accurate speaker identification
T Kinnunen, V Hautamäki, P Fränti
9th conference speech and computer, 2004
Maximum a posteriori adaptation of the centroid model for speaker verification
V Hautamki, T Kinnunen, I Krkkinen, J Saastamoinen, M Tuononen, ...
IEEE Signal Processing Letters 15, 162-165, 2008
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
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
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
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
Approaching human listener accuracy with modern speaker verification
V Hautamäki, T Kinnunen, M Nosratighods, K Lee, B Ma, H Li
Interspeech, 2010
Improving speaker verification by periodicity based voice activity detection
V Hautamäki, M Tuononen, T Niemi-Laitinen, P Fränti
Proc. 12th Int. Conf. Speech and Computer (SPECOM’2007) 2, 645-650, 2007
Minimax i-vector extractor for short duration speaker verification.
V Hautamäki, YC Cheng, P Rajan, CH Lee
INTERSPEECH 2013, 3708-3712, 2013
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
Accuracy of MFCC-Based speaker recognition in series 60 device
J Saastamoinen, E Karpov, V Hautamä, P Frä
EURASIP Journal on Advances in Signal Processing 2005 (17), 2816-2827, 2005
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20