Results 141 to 150 of about 87,060 (221)

Enhanced capsule neural network with advanced triangulation topology aggregation optimizer for music genre classification. [PDF]

Sci Rep
Jiang L, Yang L, Azimi S.
europepmc   +1 more source

Optimizing the configuration of deep learning models for music genre classification. [PDF]

Heliyon
Li T.
europepmc   +1 more source

Rigdelet neural network and improved partial reinforcement effect optimizer for music genre classification from sound spectrum images. [PDF]

Heliyon
Wang F, Fu S, Abza F.
europepmc   +1 more source

Serial cascaded hybrid adaptive deep networks-based lyrics text classification using optimization approach. [PDF]

Sci Rep
Jasmine RL, Mukherjee S, Robin CRR, Raj GD.   +3 more
europepmc   +1 more source

"RaagaDhvani: A novel augmented multi-feature dataset: Advancing emotion recognition in Carnatic music with multimodal features and hybrid deep learning". [PDF]

Data Brief
Priyadarshini A, Divakarla U.
europepmc   +1 more source

Study protocol for PIANo-1: Personalized Investigation of music's effect on Attention in a series of N-of-1 trials. [PDF]

Contemp Clin Trials Commun
Gärtner T, Stolp F, Arnrich B, Konigorski S.   +3 more
europepmc   +1 more source

Music emotion classification based on random swap algorithm. [PDF]

Sci Rep
Wiafe A, Sieranoja S, Fränti P.
europepmc   +1 more source

M6: multi-generator, multi-domain, multi-lingual and cultural, multi-genres, multi-instrument machine-generated music detection databases. [PDF]

Sci Rep
Li Y, Li H, Specia L, Schuller B.
europepmc   +1 more source

Text-to-music generation models capture musical semantic representations in the human brain. [PDF]

Nat Commun
Denk TI, Takagi Y, Matsuyama T, Agostinelli A, Nakai T, Frank C, Nishimoto S.   +6 more
europepmc   +1 more source

Development and validation of a standardized emotional music database based on multidimensional affective ratings. [PDF]

Front Psychol
Wu R, Huang Y, Jin X.
europepmc   +1 more source