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Petr Sysel
Originální název
Statistical Based Voice Activity Detector
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper deals with the method of voice activity detection. The paper aims especially to two detector types; these are the detector based on short-time signal energy and statistical model-based voice activity detector. Decision-making rules of the statistical model-based detector are derived from the LRT (Likelihood Ratio Test) by estimating unknown parameters using the ML (Maximum Likelihood) criterion. In addition there is an effective hang-over scheme based on HMM (Hidden Markov Model) principles in the detector. There were models for these detectors created in Matlab simulation environment. Models were tested on voice signals with the white noise as well as real noises. The results were evaluated and compared for various types of noises and SNR (Signal to Noise Ratios) values.
Anglický abstrakt
Klíčová slova
statistical voice activity detector
Klíčová slova v angličtině
Autoři
Vydáno
14.09.2005
Nakladatel
Technical University of Ostrava
ISBN
80-248-0897-8
Kniha
Proceedings of 6th International Conference Research In Telecommunications Technology 2005
Strany od
537
Strany počet
5
BibTex
@inproceedings{BUT15214, author="Petr {Sysel}", title="Statistical Based Voice Activity Detector", booktitle="Proceedings of 6th International Conference Research In Telecommunications Technology 2005", year="2005", pages="5", publisher="Technical University of Ostrava", isbn="80-248-0897-8" }