Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Matevž Pesek"'
Publikováno v:
Muzikološki Zbornik, Vol 58, Iss 2 (2022)
Trubadur je odprtokodna platforma za urjenje glasbenega posluha z avtomatiziranimi vajami ritmičnega in intervalnega nareka. Platformo smo ovrednotili z dijaki Konservatorija za glasbo in balet Ljubljana v šolskih letih 2018/19–2020/21. Rezultati
Externí odkaz:
https://doaj.org/article/308c0b430d5d490ba7286937489892af
Autor:
Leon Stefanija, Vanessa Nina Borsan, Matevž Pesek, Matija Marolt, Drago Kunej, Zoran Krstulović
Publikováno v:
Muzikološki Zbornik, Vol 58, Iss 2 (2022)
Procese razumevanja glasbe kot niza pojavov, ki so tesno povezani z IT praksami iskanja glasbe v slovenski raziskovalni skupnosti, skiciramo s treh osnovnih vidikov: etnomuzikološkega, bibliotekarskega (bistvenega, ko se glasbi približamo računaln
Externí odkaz:
https://doaj.org/article/b1dd0a6a8579476d883e773d8ece7772
Autor:
Luka Komidar, Anja Podlesek, Tina Pirc, Sonja Pečjak, Katja Depolli Steiner, Melita Puklek Levpušček, Alenka Gril, Bojana Boh Podgornik, Aleš Hladnik, Alenka Kavčič, Ciril Bohak, Žiga Lesar, Matija Marolt, Matevž Pesek, Cirila Peklaj
Publikováno v:
Frontiers in Psychology, Vol 12 (2022)
The importance of self-regulated learning (SRL) has increased during the COVID-19 pandemic and measures for assessing students’ self-regulation skills and knowledge are greatly needed. We present the results of the first thorough adaptation of the
Externí odkaz:
https://doaj.org/article/82e9dcac2c484b8a93cb11dfc2c6e8ef
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7296 (2022)
This paper presents a new version and a three-month evaluation of the Troubadour platform—an open-source music theory ear training platform. Through interviews with teachers, we gathered the most-needed features which would aid their use of the pla
Externí odkaz:
https://doaj.org/article/f463896211fa456f82ff03313f0ce5d0
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Melody prediction is an important aspect of music listening. The success of prediction, i.e., whether the next note played in a song is the same as the one predicted by the listener, depends on various factors. In the paper, we present two studies, w
Externí odkaz:
https://doaj.org/article/ce6e768e6d184b4e913c7b45f621ff15
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6781 (2020)
We present the development and evaluation of a gamified rhythmic dictation application for music theory learning. The application was developed as a web application in the existing Troubadour platform for music ear training. The focus of the develope
Externí odkaz:
https://doaj.org/article/3483c94567b04b7697c48ce70ad74a22
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 178 (2019)
This paper presents a model capable of learning the rhythmic characteristics of a music signal through unsupervised learning. The model learns a multi-layer hierarchy of rhythmic patterns ranging from simple structures on lower layers to more complex
Externí odkaz:
https://doaj.org/article/50aa316181414f7492dcba4cc06f120b
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169411 (2017)
The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation
Externí odkaz:
https://doaj.org/article/41d1b48c751c408e9d27b9171f0a63fd
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 439 (2019)
The article presents a method for segmentation of ethnomusicological field recordings. Field recordings are integral documents of folk music performances captured in the field, and typically contain performances, intertwined with interviews and comme
Externí odkaz:
https://doaj.org/article/739a7c72e5c040cc9f951dadca2880bc
Publikováno v:
Applied Sciences, Vol 7, Iss 11, p 1135 (2017)
This paper presents a compositional hierarchical model for pattern discovery in symbolic music. The model can be regarded as a deep architecture with a transparent structure. It can learn a set of repeated patterns within individual works or larger c
Externí odkaz:
https://doaj.org/article/fac6d84575ef464793af51649cef6dca