Welcome to the homepage of the project

Vector Quantization in Speaker Recognition

University of JoensuuDepartment of Computer Science


PROBLEM STATEMENT:
 
Fig.1: Schematic diagram of the closed-set speaker identification system.

THE GOAL OF OUR RESEARCH: HISTORY AND NEWS OF THIS PROJECT:
CURRENT RESEARCH TEAM AND RESPONSIBILITIES:

[In alphabetical order - "corresponding author" marked by *]
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:

PUBLICATIONS:

Theses:

Journal papers:

Conference papers: