Search results for "music genre"
showing 5 items of 5 documents
Music style not only modulates the auditory cortex, but also motor related areas
2021
The neuroscience of music has recently attracted significant attention, but the effect of music style on the activation of auditory-motor regions has not been explored. The aim of the present study is to analyze the differences in brain activity during passive listening to non-vocal excerpts of four different music genres (classical, reggaeton, electronic and folk). A functional magnetic resonance imaging (fMRI) experiment was performed. Twenty-eight participants with no musical training were included in the study. They had to passively listen to music excerpts of the above genres during fMRI acquisition. Imaging analysis was performed at the whole-brain-level and in auditory-motor regions …
'I love Rock 'n' Roll'--music genre preference modulates brain responses to music.
2013
The present study examined the effect of participants' music genre preference on the neural processes underlying evaluative and cognitive judgements of music using the event-related potential technique. To this aim, two participant groups differing in their preference for Latin American and Heavy Metal music performed a liking judgement and a genre classification task on a variety of excerpts of either music genre. A late positive potential (LPP) was elicited in all conditions between 600 and 900 ms after stimulus onset. During the genre classification task, an early negativity was elicited by the preferred compared to the non-preferred music at around 230-370 ms whereas the non-preferred g…
Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation
2016
This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outpe…
Visual kei žanra pretrunas Japānas populārajā kultūrā un mūzikā mūsdienās
2019
Bakalaura darba tēma Visual kei žanra pretrunas Japānas populārajā kultūrā un mūzikā mūsdienās izvēlēta ar mērķi izpētīt un iepazīstināt latviešu auditoriju ar unikālu, vizuāli spēcīgu, muzikāli sociālu kustību, kura joprojām ir saglabājusi savu vietu Japānas populārajā kultūrā, kā arī noskaidrot, pret kādām sabiedrības normām Visual kei ir negatīva nostāja. Visual kei ir mūsdienu nišas mūzikas žanrs un subkultūra, kuru mēdz attiecināt kā uz underground jeb pazemes mūzikas novirzienu, muzikāli pārkāpjot jebkādus mūzikas žanros pieņemtos standartus. Šis žanrs radies, ietekmējoties no diviem nozīmīgiem japāņu medijiem anime (multiplikācija) un manga (stāstījums ar grafiskiem attēliem). To rak…
Testing a spectral-based feature set for audio genre classification
2011
Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this task remains an open question because the current state of the art shows far from satisfactory outcomes in terms of classification performance. Moreover, the most common algorithms that are used for this task are not designed for modelling music perception. This study suggests a framework for testing different musical features for use in music genre classification and evaluates the performance of this task based on two musical descriptors. The focus of this study is on automa…