# Voice Command Detection
Whisper Small Keyword Spotting
Apache-2.0
An audio keyword recognition model fine-tuned based on openai/whisper-small, trained on the kw-spotting-fsc-sl-agv dataset with an evaluation accuracy of 99.98%
Audio Classification
Transformers

W
FlandersMakeAGV
24
0
Wav2vec2 Base Ft Keyword Spotting
Apache-2.0
A speech keyword recognition model fine-tuned on the SUPERB dataset based on facebook/wav2vec2-base, achieving an accuracy of 98.26%
Audio Classification
Transformers

W
anton-l
70
4
Wav2vec2 Base Keyword Spotting
Apache-2.0
A fine-tuned speech keyword recognition model based on wav2vec2-base on the superb dataset, achieving 98.43% accuracy
Audio Classification
Transformers

W
anton-l
14
0
Sew Mid 100k Ft Keyword Spotting
Apache-2.0
This model is a fine-tuned version of asapp/sew-mid-100k on the superb dataset, primarily used for keyword spotting tasks.
Audio Classification
Transformers Other

S
anton-l
116
3
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