Detect Language
A language identification model fine-tuned based on the Whisper Medium model, specifically designed for language classification tasks on the FLEURS dataset
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Release Time : 3/27/2024
Model Overview
This model is a fine-tuned version of OpenAI's Whisper Medium model, adapted for the FLEURS language identification dataset, primarily used for audio language classification tasks.
Model Features
High-accuracy language identification
Achieves 88.05% accuracy on the FLEURS evaluation set
Based on Whisper architecture
Leverages the powerful audio processing capabilities of the Whisper model for fine-tuning
Multi-GPU training optimization
Utilizes multi-GPU distributed training and gradient accumulation techniques
Model Capabilities
Audio language identification
Multilingual classification
Use Cases
Speech processing
Multilingual speech content classification
Identify the language used in audio clips
88.05% accuracy
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