THE GOAL OF OUR RESEARCH:
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Fig.1: Schematic diagram of the closed-set speaker identification system.
| Core team: | |||
| Pasi
Fränti (Ph.D., Professor) |
Project leader,
Clustering/VQ algorithms,
pattern recognition |
||
| Ville Hautamäki
(MSc) |
Classifier fusion, programming | ||
| Evgeny
Karpov (M.Sc.) |
Real-time speaker identification, programming |
||
| Tomi
Kinnunen (PhD)* |
Feature extraction and matching algorithms | ||
| Ismo Kärkkäinen (M.Sc.) | Clustering algorithms, programming | ||
| Jussi Parkkinen (Ph.D., Professor) | Pattern recognition and DSP support | ||
| Juhani Saastamoinen (Ph.Lic.) | Project Manager (PUMS project) | ||
| Students: |
|||
| Zdenek Fiedler |
Empirical study of the recognition accuracy in practise |
||
| Olga Grebenskaya |
Adaptive speech recognition /
GUI development |
||
| Rosa González Hautamäki | F0 estimation and modeling
for speaker recognition |
||
| Timo Viinikka |
Effect of GSM coding to speaker recognition performance |
CO-OPERATIVE
PARTNERS:
Theses: