Results 81 to 90 of about 87,060 (221)
Klasifikasi Lagu Berdasarkan Genre pada Format WAV
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014 Abstrak Dalam dunia yang berkembang pesat, media audio semakin komplek. Karena itulah diperlukan sebuah mekanisme penentuan jenis lagu (genre) yang tepat secara efektif dan efisien.
Nurmiyati Tamatjita, Agus Harjoko
doaj +1 more source
Product Positioning and Incentives to Innovate
Journal of Economics &Management Strategy, EarlyView.ABSTRACT This paper shows that product positioning affects the incentives to invest in process innovation. The result is found using a model of price competition with three firms under horizontal product differentiation—and then extended to a more general Bertrand triopoly.
Emanuele Bacchiega, Paolo G. Garella
wiley +1 more source
Music Genre Classification Using MIDI and Audio Features
EURASIP Journal on Advances in Signal Processing, 2007 We report our findings on using MIDI files and audio features from MIDI, separately and combined together, for MIDI music genre classification. We use McKay and Fujinaga's 3-root and 9-leaf genre data set.
Abdullah Sonmez +2 more
doaj +2 more sources
A prototype for classification of classical music using neural networks [PDF]
, 2004 As a result of recent technological innovations, there has been a tremendous growth in the Electronic Music Distribution industry. In this way, tasks such us automatic music genre classification address new and exciting research challenges.
Cardoso, A. +4 more
core +1 more source
Indian Music Genre Classification
International Journal For Innovative Engineering and Management Research, 2022 In this project, we are going to build an application that classifies the genre of the music. The audio files will be given as input and the classified genre will be given as output. The INDIAN genre collection dataset was collected in 2000-2001. It consists of 600 audio files each having 30 seconds duration.
openaire +1 more source
Journal of Sociolinguistics, EarlyView.ABSTRACT Sociolinguistic research has long documented the appropriation of African American Vernacular English (AAVE) across media including film, music and advertising. In this article, we add to this body of work by exploring the digital recontextualisation of a subset of AAVE features as ‘TikTok/internet language’.
Christian Ilbury, Rianna Walcott
wiley +1 more source
Towards efficient music genre classification using FastMap
, 2012 Automatic genre classification aims to correctly categorize an unknown recording with a music genre. Recent studies use the Kullback-Leibler (KL) divergence to estimate music similarity then perform classification using k-nearest neighbours (k-NN ...
de Leon, Franz, Martinez, Kirk
core
Deep Learning and Music Adversaries [PDF]
, 2015 OA Monitor ExerciseOA Monitor ExerciseAn {\em adversary} is essentially an algorithm intent on making a classification system perform in some particular way given an input, e.g., increase the probability of a false negative.
Kereliuk, C, Larsen, J, STURM, BLT
core +2 more sources
“This is the Work I'm Most Proud of”: K‐Pop Fandom and Children's Multilingual Literacy Practices
The Modern Language Journal, EarlyView.ABSTRACT This paper examines how children's affective investments in K‐pop generated sustained multilingual literacy practices in an arts‐based bookmaking project. Drawing on Pennycook's concept of language assemblages and Norton's investment framework, and informed by Paris and Alim's distinction between heritage and community practices, we analyse ...
Julie Choi, Rafaela Cleeve Gerkens
wiley +1 more source
Music classification by low-rank semantic mappings [PDF]
, 2013 A challenging open question in music classification is which music representation (i.e., audio features) and which machine learning algorithm is appropriate for a specific music classification task.
Kotropoulos, Constantine +1 more
core +1 more source