20.500.12556/DKUM-66930 Glasovna ključavnica na platformi Raspberry Pi Voice Lock on Raspberry Pi Platform V magistrskem delu smo izdelali glasovno ključavnico na platformi Raspberry Pi. V programskem jeziku Java smo izdelali program, ki s pomočjo mikrofona zajema zvočni signal in iz njega izlušči koeficiente melodičnega kepstruma. Nato smo na podlagi razdalje, izračunane z algoritmom dinamičnega časovnega prileganja, med seboj primerjali in klasificirali posnetke izgovorjave 49 slovenskih besed sedmih različnih oseb. Analizirali smo vpliv števila koeficientov melodičnega kepstruma, dolžine izgovorjene besede, števila samoglasnikov v izgovorjeni besedi, spola govorcev in šuma. Pri posnetkih z razmerjem signal–šum 25 dB je najmanjša dobljena napaka razpoznave znašala 9,45 %, pri posnetkih z razmerjem signal–šum 15 dB pa približno 26,97 %. In the master's thesis, we created a voice lock on the Raspberry Pi platform. In the Java programming language, we created a program that uses a microphone to capture an acoustic signal and extracts the Mel-frequency cepstral coefficients from it. Then, on the basis of the distance, calculated by the dynamic time-matching algorithm, we compared and classified the recordings of the pronunciation of 49 Slovene words by seven different people. We analysed the influence of the number of Mel-frequency cepstral coefficients, the length of the spoken word, the number of vowels in the spoken word, speaker’s gender and noise. For the recordings with a signal-to-noise ratio of 25 dB the minimum detection error was 9.45%, whereas for the recordings with a signal-to-noise ratio of 15 dB detection error increased to 26.97%. Glasovna ključavnica Raspberry Pi dinamično časovno prileganje koeficienti melodičnega kepstruma. Voice lock Raspberry Pi dynamic time warping mel frequency cepstral coefficient. true true false N. Pušnik Slovenski jezik Angleški jezik Magistrsko delo/naloga 2017-07-18 10:21:45 2017-10-17 15:16:41 2022-08-01 13:21:24 2019-07-11 16:03:57 2017 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.357:004.934.8'1(043.2) 20969750 URN:SI:UM:DK:ODZFVYZ8 MAG_Pusnik_Nejc_2017.pdf MAG_Pusnik_Nejc_2017.pdf 1 186E60AFFC9AEC04F48C23E4F9A52CFF 0c72cddd41657c25f767c33c447a9eba5dc61624271c6ffc6dd726f81dbcab9b a806df52-7c0e-11eb-bb7a-00155d0001ca 20.500.12556/dkum/0fd259a0-fdaf-4650-b30b-7014847a9e35 https://dk.um.si/Dokument.php?lang=slv&id=117343 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0