Results 131 to 140 of about 87,060 (221)

Musical Genre Classification of Audio

, 2018
Im Rahmen dieser Masterarbeit habe ich die verschiedenen Methoden und Modelle des Deep Learnings zur Klassifizierung von Musikgattungen erfoscht. Neben den klassischen Methoden basierend auf MFCC und Spektogrammen wurden ebenfalls die neusten Methoden der Deep Learning Forschung benutzt.
openaire   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Collective grief, liminality, and redressive action in Black fans' embodied engagement with Black Panther: Wakanda Forever

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Marvel's 2022 blockbuster film Black Panther: Wakanda Forever was marked by the death of lead actor Chadwick Boseman in 2020, resulting in the cinematic death of his character T'Challa. For US Black audiences, the imagined nation of Wakanda served as more than entertainment, but a diasporic “home” at a time of deepening anti‐Blackness and ...
Marissa Smith Morgan
wiley   +1 more source

Clustering Musik Rock Menggunakan Algoritma K-Means dan K- Medoids [PDF]

Clustering is a data analysis technique used to group objects with similar attributes or characteristics. The goal of clustering is to uncover hidden structures or patterns in data without prior label or classification information.
Andini, Cheria Rindang Tri
core  

Music Genre Classification Based on Functional Data Analysis

IEEE Access
Music genre classification (MGC) has gained significant attention due to its broad applications in music information retrieval. Traditional MGC approaches often rely on hand-crafted features or deep learning models that may overlook the continuous and ...
Jiahong Shen, Guangrun Xiao
doaj   +1 more source

FMA: A Dataset For Music Analysis

, 2017
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections. The community's growing interest in feature
Benzi, Kirell, Bresson, Xavier, Defferrard, Michaël, Vandergheynst, Pierre   +3 more
core  

A Review - Music Genre Classification

International Journal of Advanced Research in Science, Communication and Technology
Abstract: This review documents a reproducible pipeline for automatic Indian music genre recognition that converts short (≈30 s) audio clips into spectral features and evaluates multiple classical classifiers. The implemented workflow covers dataset organization, FFT‑based feature extraction (the first 2000 frequency bins saved as reusable .npy files),
null Dnyaneshwari Shinde, null Dr. A. O. Mulani   +1 more
openaire   +1 more source

The Concept of Genre in Music: A New Model Suggestion for the Classification of Music Genres

Ege Üniversitesi Devlet Türk Musikisi Konservatuvarı Dergisi, 2018
Mankind needs an order to be able to first understand and to get rid of some of thechaos that he encounters in his life cycle. This need for order is addressed with thehelp of one or more specified measures. The most fundamental effort toscientifically transform chaos into order is “classification”.
openaire   +3 more sources

Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms. [PDF]

Sci Rep
Xue M.
europepmc   +1 more source