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Hubert Base Ls960 2clsfinetuned Bmd V1 Epo10 20250201 141430 LOSO Section Out4
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Hubert Base Ls960 2clsfinetuned Bmd V1 Epo10 20250201 141430 LOSO Section Out4

Developed by sarasarasara
This model is a speech classification model fine-tuned based on facebook/hubert-base-ls960, mainly used for binary classification tasks, and achieved an accuracy of 78.26% on the evaluation set.
Audio Classification
Transformers
Open Source License:Apache-2.0#Speech classification#High accuracy#HuBERT fine-tuning
Downloads 3
Release Time : 2/1/2025

Model Overview

This is a speech classification model based on the HuBERT architecture, fine-tuned for a specific binary classification task. The model shows good classification performance on the validation set.

Model Features

Efficient fine-tuning
Efficient fine-tuning based on the pre-trained HuBERT model, suitable for specific classification tasks
Good performance
Achieved an accuracy and F1 score of 78.26% on the binary classification task
Lightweight
Based on the hubert-base version, relatively lightweight and suitable for deployment

Model Capabilities

Speech feature extraction
Speech classification
Binary classification task processing

Use Cases

Speech analysis
Speech emotion classification
Can be used to distinguish different emotional states in speech
Accuracy 78.26%
Speech quality detection
Can be used to detect the quality or integrity of speech signals
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