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算力平台
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SOTA
音频分类
Audio Classification On Speech Commands 1
Audio Classification On Speech Commands 1
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
EAT
98.3±0.04
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
AST-S
98.11±0.05
AST: Audio Spectrogram Transformer
PDC
97.8
Augmenting Deep Classifiers with Polynomial Neural Networks
ASM-RH
96.51
Mixer is more than just a model
EfficientLEAF
95.2
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
melspect
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
LEAF
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
0 of 7 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
音频分类
Audio Classification On Speech Commands 1
Audio Classification On Speech Commands 1
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
EAT
98.3±0.04
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
AST-S
98.11±0.05
AST: Audio Spectrogram Transformer
PDC
97.8
Augmenting Deep Classifiers with Polynomial Neural Networks
ASM-RH
96.51
Mixer is more than just a model
EfficientLEAF
95.2
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
melspect
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
LEAF
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
0 of 7 row(s) selected.
Previous
Next
Audio Classification On Speech Commands 1 | SOTA | HyperAI超神经