Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Michal Chmulik"'
Publikováno v:
Communications, Vol 13, Iss 4, Pp 20-24 (2011)
This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM). Each classifier represents diff
Externí odkaz:
https://doaj.org/article/4f35f7a7f8684b009b41e707ce44458c
Publikováno v:
Multimedia Tools and Applications. 81:5017-5031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0180bced3aab3190bbcdffe866db9f72
https://doi.org/10.1007/s11042-021-11584-7
https://doi.org/10.1007/s11042-021-11584-7
Autor:
Maros Jakubec, Michal Chmulik
Publikováno v:
Transportation Research Procedia. 40:1364-1371
Automatic music genre recognition is fundamental tool for music retrieval, recommendation and personalisation in smart infotainment systems and music streaming services. Such systems may be helpful especially for in-car audio, because driver’s inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08b4640dcbf6216beb41116db350b71
https://doi.org/10.1016/j.trpro.2019.07.189
https://doi.org/10.1016/j.trpro.2019.07.189
Publikováno v:
Electronics, Vol 10, Iss 1163, p 1163 (2021)
Emotions are an integral part of human interactions and are significant factors in determining user satisfaction or customer opinion. speech emotion recognition (SER) modules also play an important role in the development of human–computer interact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6faec639ed66170680e2fdf1ecd2e09f
https://www.mdpi.com/2079-9292/10/10/1163
https://www.mdpi.com/2079-9292/10/10/1163
Publikováno v:
IET Biometrics. 6:276-281
Substantial progress has been achieved in voice-based biometrics in recent times but a variety of challenges still remain for speech research community. One such obstacle is reliable speaker authentication from speech signals degraded by lossy compre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8de5f232a61e9cf2623513009c0d73
https://doi.org/10.1049/iet-bmt.2016.0119
https://doi.org/10.1049/iet-bmt.2016.0119
Publikováno v:
TSP
In this article, we present system for dynamic dimensional music emotion recognition (MER) and comparison of the system efficiency depending on different audio features. Experiments were performed on the database provided within the Emotion in Music
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb3e5f94497e807bcc1dd2a96f809f4
https://doi.org/10.1109/tsp.2019.8768806
https://doi.org/10.1109/tsp.2019.8768806
Publikováno v:
2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA).
Music emotion is an important component in the field of music information retrieval and computational musicology. Considering the complexity of the state-of-the-art methods and challenges brought by lack of information available in existing public da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3583666e55cd58a7713fc12c28caffda
https://doi.org/10.1109/radioelek.2019.8733572
https://doi.org/10.1109/radioelek.2019.8733572
Publikováno v:
TSP
In this paper we propose two-dimensional cepstrum analysis approach applied in the emotion recognition task in continuous space. Experiments has been done on IEMOCAP database which allows emotion recognition in three dimensions: dimension valence, ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c10306312bcbd3de66a3a3ab52fb36d
https://doi.org/10.1109/tsp.2016.7760892
https://doi.org/10.1109/tsp.2016.7760892
Publikováno v:
TSP
Jitter and shimmer as indicators of the quality of voice are often used to detect speech disorders and a variety of narrative styles. In this article we examine the suitability of the jitter and shimmer voice quality measurements for speaker verifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c11d3e0e1c307d98cd5f1c21ae62e89
https://doi.org/10.1109/tsp.2016.7760890
https://doi.org/10.1109/tsp.2016.7760890
Publikováno v:
IWBF
In this paper, we investigate the effect of lossy speech compression on text-independent speaker verification task. We have evaluated the voice biometrics performance over several state-of-the art speech codecs including recently released Enhanced Vo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0207a459e37c4074793cf4bf0de859ec
https://doi.org/10.1109/iwbf.2016.7449679
https://doi.org/10.1109/iwbf.2016.7449679