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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.
AudioSet
MAViL (Audio-Visual, single)
ESC-50
BEATs
ICBHI Respiratory Sound Database
BTS
VGGSound
ONE-PEACE (Audio-Visual)
SHD
SNN with Dilated Convolution with Learnable Spacings
FSD50K
Balanced Audio Set
EquiAV
Speech Commands
EAT
DCASE
CrissCross (AudioSet)
SSC
Event-SSM
EPIC-KITCHENS-100
Audiovisual Masked Autoencoder
(Audiovisual, Single)
BirdCLEF 2021
Audio Set
DiCOVA
CREMA-D
VocalSound
VocalSound Baseline
RAVDESS
EPIC-SOUNDS
MeerKAT: Meerkat Kalahari Audio Transcripts
animal2vec
UCR Time Series Classification Archive
CDIL
DEEP-VOICE: DeepFake Voice Recognition
Multimodal PISA
audiofolder
Common Voice 16.1
MNIST
LSVSC