wav2vec2-vd-bird-sound-classification

greenarcade/wav2vec2-vd-bird-sound-classification

Bird sound classification model trained on my custom dataset. Identifies local bird species from audio recordings.

Usage

from transformers import pipeline

classifier = pipeline("audio-classification", "greenarcade/wav2vec2-vd-bird-sound-classification")
result = classifier("your_audio.wav", top_k=3)

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• Developed by: Suvan GS & [Dharanya T]
• Model type: Transformers
• License: MIT

Model Sources [optional]

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• Repository: Minor Project
• Paper : Coming Soon
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Uses

Used to Classify the sounds for the 21 species of birds observed at Vedanthangal Bird Sanctuary

Out-of-Scope Use

The model will not work for any of the species not listed below:

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

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Factors

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Results

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Summary

Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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Glossary [optional]

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