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Voice feature extraction

# Voice feature extraction

Wavlm Basic S F O 8batch 10sec 0.0001lr Unfrozen
A voice processing model fine-tuned based on microsoft/wavlm-large, achieving 80% accuracy and 79.57% F1 score on the evaluation set
Audio Classification Transformers
W
reralle
14
0
Wavlm Basic S R 5c 8batch 5sec 0.0001lr Unfrozen
A speech processing model fine-tuned based on microsoft/wavlm-large, achieving 75% accuracy on the evaluation set
Audio Classification Transformers
W
reralle
16
0
Wavlm Basic N F N 8batch 5sec 0.0001lr Unfrozen
A speech processing model fine-tuned based on microsoft/wavlm-large, achieving an accuracy of 73.33% on the evaluation set
Audio Classification Transformers
W
reralle
14
0
Wav2vec2 Base POSITIVE NEGATIVE ONLY BALANCED CLASSES
Apache-2.0
A fine-tuned speech processing model based on facebook/wav2vec2-base, focusing on balanced positive-negative class classification tasks
Audio Classification Transformers
W
aherzberg
17
0
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