Audio Classification
Audio Classification is a machine learning task aimed at recognizing and categorizing audio signals into different classes. The core objective of this task is to enable machines to automatically distinguish various types of audio, such as music, speech, and environmental sounds, thereby playing a crucial role in audio processing and analysis. Accurate audio classification can enhance the efficiency and accuracy of audio retrieval, monitoring, and content management systems, making it an important application.
Audio Set
audiofolder
AudioSet
MBT (AS-500K training + Video)
Balanced Audio Set
EAT
BirdCLEF 2021
Common Voice 16.1
CREMA-D
DCASE
CrissCross (AudioSet)
DEEP-VOICE: DeepFake Voice Recognition
DiCOVA
EPIC-KITCHENS-100
Audiovisual Masked Autoencoder
(Audiovisual, Single)
EPIC-SOUNDS
ESC-50
InternVideo2
FSD50K
ICBHI Respiratory Sound Database
BTS
LSVSC
MeerKAT: Meerkat Kalahari Audio Transcripts
animal2vec
MNIST
Multimodal PISA
RAVDESS
SHD
SNN with Dilated Convolution with Learnable Spacings
Speech Commands
EAT
SSC
Event-SSM
UCR Time Series Classification Archive
CDIL
VGGSound
ONE-PEACE (Audio-Visual)
VocalSound
VocalSound Baseline