"Vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Brn\u011B. Fakulta strojn\u00EDho in\u017Een\u00FDrstv\u00ED. \u00DAstav automatizace a informatiky" . "4"^^ . . . "26210" . "I, S" . "The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in real environment."@en . "[CD89C5916B78]" . "19995" . . "Brno University of Technology" . "RIV/00216305:26210/14:PU109629" . . . "2"^^ . "Speech recognition, Bayesian filter, Probabilistic learning, Human-machine interface, Mobile robot."@en . . . "978-80-214-4984-8" . "Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition" . . "2"^^ . . "MENDEL 2014, 20th International Conference on Soft Computing." . . . "Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition"@en . . "Brno, Czech Republic" . "The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in real environment." . . "RIV/00216305:26210/14:PU109629!RIV15-MSM-26210___" . "2014-06-25+02:00"^^ . . . "Ma\u0161ek, Petr" . "Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition" . . . . . "R\u016F\u017Ei\u010Dka, Michal" . "Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition"@en .