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Bird Classification Model
B
Bird Classification Model
Developed by Saads
An audio classification model fine-tuned based on facebook/wav2vec2-base for identifying bird sounds
Downloads 19
Release Time : 4/27/2023
Model Overview
This model is an audio classification model based on the wav2vec2 architecture, specifically designed to recognize different bird calls. Through fine-tuning training on bird audio data, it can achieve accurate classification of specific bird sounds.
Model Features
Based on wav2vec2 Architecture
Uses the facebook open-source wav2vec2-base model as the foundational architecture, providing excellent audio feature extraction capabilities
Efficient Training Parameters
Utilizes reasonable hyperparameter configurations, including a learning rate of 3e-05 and a total batch size of 256, ensuring training efficiency
Specialized Domain Application
Specifically optimized for bird sound classification tasks, suitable for professional fields such as wildlife monitoring
Model Capabilities
Bird Sound Recognition
Audio Classification
Wildlife Monitoring
Use Cases
Ecological Research
Bird Population Monitoring
Automatically identifies different bird species by analyzing field recordings
Environmental Protection
Biodiversity Assessment
Evaluates changes in bird diversity within specific regions
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