My Awesome Mind Model
M
My Awesome Mind Model
Developed by faaany
An audio classification model fine-tuned on the minds14 dataset based on facebook/wav2vec2-base
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Release Time : 10/20/2024
Model Overview
This model is a fine-tuned model for audio classification tasks, based on the wav2vec2 architecture and trained on the minds14 dataset.
Model Features
Based on wav2vec2 Architecture
Uses facebook's wav2vec2-base as the base model, which has excellent audio feature extraction capabilities
Optimized for minds14 Dataset
Specifically fine-tuned for the minds14 audio dataset
Lightweight Training Configuration
Trained with moderate batch sizes and learning rates, suitable for resource-constrained environments
Model Capabilities
Audio Classification
English Speech Recognition
Use Cases
Speech Processing
Voice Command Classification
Can be used to recognize and classify voice commands
Speech Emotion Analysis
Can be used to analyze emotional tendencies in speech
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