L
Laimutis Telksnys
Researcher at Vilnius University
Publications - 30
Citations - 174
Laimutis Telksnys is an academic researcher from Vilnius University. The author has contributed to research in topics: Speech corpus & Speaker recognition. The author has an hindex of 7, co-authored 30 publications receiving 160 citations. Previous affiliations of Laimutis Telksnys include Vytautas Magnus University.
Papers
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Journal ArticleDOI
Development of Isolated Word Speech Recognition System
TL;DR: The isolated word speech recognition system based on dynamic time warping (DTW) has been developed and performance is evaluated using 12 words of Lithuanian language pronounced ten times by ten speakers.
Journal ArticleDOI
Capillary Electrophoresis Sensitivity Enhancement Based on Adaptive Moving Average Method
Tomas Drevinskas,Laimutis Telksnys,Audrius Maruška,Jelena Gorbatsova,Mihkel Kaljurand,Mihkel Kaljurand +5 more
TL;DR: A novel approach to improve the sensitivity of the "out of lab" portable capillary electrophoretic measurements by using an optimal averaging window size and a migration velocity-adaptive moving average method that can be easily implemented with a microcontroller.
Journal ArticleDOI
Quality Estimation Methodology of Speech Recognition Features
R. Lileikyte,Laimutis Telksnys +1 more
TL;DR: The methodology for quality estimation of speech features is presented and the most proper metric was chosen in combination with Dynamic Time Warping (DTW) classifier.
Journal ArticleDOI
Compensation of the baseline temperature fluctuations for autonomous CE-C4D instrument working in harsh environments.
Tomas Drevinskas,Laimutis Telksnys,Laimutis Telksnys,Audrius Maruška,Jelena Gorbatsova,Mihkel Kaljurand,Mihkel Kaljurand +6 more
TL;DR: Electropherogram baseline compensation that is suitable for the capillary electrophoresis–contactless conductivity detection analytical method and can be programmed in‐line using simple microcontroller, or on‐line and off‐line in data acquisition software.
Journal ArticleDOI
Analysis of Factors Influencing Accuracy of Speech Recognition
G. Čeidaitė,Laimutis Telksnys +1 more
TL;DR: The analysis of experimental results proved that the biggest influence on recognition accuracy has environments’ in which speech commands’ recognition are used and size set of etalons of speech commands used for training.