Results 71 to 80 of about 87,060 (221)

Brain Melody Interaction: Understanding Effects of Music on Cerebral Hemodynamic Responses

Multimodal Technologies and Interaction, 2022
Music elicits strong emotional reactions in people, regardless of their gender, age or cultural background. Understanding the effects of music on brain activity can enhance existing music therapy techniques and lead to improvements in various medical and
Jessica Sharmin Rahman, Sabrina Caldwell, Richard Jones, Tom Gedeon   +3 more
doaj   +1 more source

Rock Genre Classification Using K-Nearest Neighbor [PDF]

, 2014
Music genre classification is a part of Music Information Retrieval. This research was a genre music detection based on signal from an audio. Divided into two processes namely extraction of features and classification.
Sazaki, Y. (Yoppy)
core  

(Un)threading Rhythms: On Affect and Vibe in a Rave

Anthropology of Consciousness, EarlyView.
ABSTRACT In Toronto, raves arise across large nightclubs, DIY venues and outdoors, despite changing regulations that have further arranged and narrowed their possibility in the past 4 years. Following a rave in Toronto, this work explores ways that potentialities and affects emerge in a single night, through my entry of taking part in dancing and ...
Tatiana Yunadi
wiley   +1 more source

Inter Genre Similarity Modeling For Automatic Music Genre Classification [PDF]

2006 IEEE 14th Signal Processing and Communications Applications, 2006
Music genre classification is an essential tool for music information retrieval systems and it has been finding critical applications in various media platforms. Two important problems of the automatic music genre classification are feature extraction and classifier design.
Ulas Bagci, Engin Erzin
openaire   +2 more sources

Enhancing timbre model using MFCC and its time derivatives for music similarity estimation

, 2012
One of the popular methods for content-based music similarity estimation is to model timbre with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric Kullback-Leibler divergence.
de leon, Franz, Martinez, Kirk
core   +1 more source

Pop Music Highlighter: Marking the Emotion Keypoints [PDF]

, 2018
The goal of music highlight extraction is to get a short consecutive segment of a piece of music that provides an effective representation of the whole piece.
Chou, Szu-Yu, Huang, Yu-Siang, Yang, Yi-Hsuan   +2 more
core   +3 more sources

Genres of Paradoxical IS Theorising: Of Chaos–Puzzles and Spear–Shields

Information Systems Journal, EarlyView.
ABSTRACT Paradox is a powerful lens for theorising information systems (IS) phenomena. However, as scholars apply the term to fundamentally different phenomena, ‘paradox’ risks dilution. Much confusion stems from conflating two concepts under the same English label ‘paradox’: chaos–puzzles (seemingly impossible ideas, aligned with the Chinese term ‘bei
Blair Wang, Raffaele F. Ciriello, Lars Mathiassen   +2 more
wiley   +1 more source

A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features

Mathematics, 2018
Music is a series of harmonious sounds well arranged by musical elements including rhythm, melody, and harmony (RMH). Since music digitalization has resulted in a wide variety of new musical applications used in daily life, the use of music genre ...
Yu-Tso Chen, Chi-Hua Chen, Szu Wu, Chi-Chun Lo   +3 more
doaj   +1 more source

‘It's Like a Horror Movie That You Walk Through’: Experiencing Horror Through Immersive Recreation

The Journal of American Culture, EarlyView.
ABSTRACT Horror stories have provided enjoyable forms of leisure for centuries. Over the past five decades, however, these experiences have evolved into increasingly immersive forms of popular culture. What once involved constructing the narrative world internally through reading has expanded into sensory engagement through visual and auditory media ...
Susan Weidmann
wiley   +1 more source

Performance Comparison of Naive Bayes and Support Vector Machine Methods in Music Genre Classification Based on Audio Signal Feature Extraction Using Mel-Frequency Cepstral Coefficients (MFCC)

Journal of Applied Informatics and Computing
Music genre classification has gained increasing attention with the emergence of digital music platforms. One of the relevant features extracted from audio signals is Mel-Frequency Cepstral Coefficients (MFCC), which is widely recognized as an effective ...
Kevin Putrayudha Naserwan, Kanda Januar Miraswan, Meylani Utari   +2 more
doaj   +1 more source