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Wav2vec2 Base Lang Id
A speech language identification model fine-tuned on the common_language dataset based on facebook/wav2vec2-base
Downloads 3,470
Release Time : 3/2/2022
Model Overview
This model is designed for audio classification tasks, specifically language identification, capable of recognizing speech content in different languages.
Model Features
High Accuracy Language Identification
Achieves 79.45% accuracy on the evaluation set
Based on wav2vec2 Architecture
Uses facebook's wav2vec2-base as the base model
Multilingual Support
Trained on the common_language dataset, supports multiple language identification
Model Capabilities
Speech Language Identification
Audio Classification
Use Cases
Speech Processing
Multilingual Speech Classification
Identify the language category of speech segments
79.45% accuracy
Speech Content Analysis
Provides language classification foundation for speech content analysis
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