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Edvin Pakoci
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2020 – today
- 2022
- [c9]Edvin Pakoci, Darko Pekar, Branislav M. Popovic, Milan Secujski, Vlado Delic:
Overcoming Data Sparsity in Automatic Transcription of Dictated Medical Findings. EUSIPCO 2022: 454-458 - 2021
- [c8]Edvin Pakoci
, Branislav M. Popovic
:
Methods for Using Class Based N-gram Language Models in the Kaldi Toolkit. SPECOM 2021: 492-503
2010 – 2019
- 2019
- [j1]Edvin Pakoci
, Branislav M. Popovic
, Darko Pekar:
Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition. Comput. Intell. Neurosci. 2019: 5072918:1-5072918:8 (2019) - 2018
- [c7]Branislav M. Popovic, Edvin Pakoci, Darko Pekar:
A Comparison of Language Model Training Techniques in a Continuous Speech Recognition System for Serbian. SPECOM 2018: 522-531 - 2017
- [c6]Branislav M. Popovic, Edvin Pakoci, Darko Pekar:
End-to-End Large Vocabulary Speech Recognition for the Serbian Language. SPECOM 2017: 343-352 - [c5]Edvin Pakoci, Branislav M. Popovic, Darko Pekar:
Language Model Optimization for a Deep Neural Network Based Speech Recognition System for Serbian. SPECOM 2017: 483-492 - 2016
- [c4]Branislav M. Popovic, Edvin Pakoci, Darko Pekar:
Advanced voice activity detection on mobile phones by using microphone array and phoneme-specific Gaussian mixture models. SISY 2016: 45-50 - [c3]Edvin Pakoci, Branislav M. Popovic, Niksa Jakovljevic
, Darko Pekar, Fathy Yassa:
A Phonetic Segmentation Procedure Based on Hidden Markov Models. SPECOM 2016: 67-74 - 2015
- [c2]Branislav M. Popovic, Stevan Ostrogonac, Edvin Pakoci, Niksa Jakovljevic
, Vlado Delic
:
Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit. SPECOM 2015: 186-192 - 2014
- [c1]Edvin Pakoci, Niksa Jakovljevic, Branislav M. Popovic, Dragisa Miskovic, Darko Pekar:
Speaker Detection Using Phoneme Specific Hidden Markov Models. SPECOM 2014: 410-417
Coauthor Index
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