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Distilhubert Ft Common Language
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Distilhubert Ft Common Language
Developed by anton-l
This model is a fine-tuned audio classification model based on distilhubert trained on a common language dataset, primarily used for language recognition tasks.
Downloads 17
Release Time : 3/2/2022
Model Overview
This is a fine-tuned audio classification model based on the distilhubert architecture, trained on a common language dataset for identifying different languages.
Model Features
Lightweight Model
Based on the DistilHuBERT architecture, it is more lightweight compared to the original HuBERT model.
Multilingual Support
Trained on a common language dataset, supporting recognition of multiple languages.
Efficient Fine-tuning
Fine-tuned on the base model to adapt to specific language recognition tasks.
Model Capabilities
Audio Classification
Language Recognition
Speech Feature Extraction
Use Cases
Speech Processing
Language Recognition System
Used to identify the language type in audio clips.
Achieved an accuracy of 27.97% on the evaluation dataset.
Speech Content Classification
Classify speech content for processing.
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