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atharva-m
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Speaker_Recognition_with_fine_tuned_Wav2Vec2

Audio Classification
Transformers
Safetensors
English
wav2vec2
speech-recognition
english
Eval Results
Inference Endpoints
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  ---
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  license: apache-2.0
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  datasets:
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- - Codec-SUPERB/Voxceleb1_test_original
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  language:
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- - en
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  base_model:
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- - facebook/wav2vec2-base
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  model-index:
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  - name: Speaker_Recognition_with_fine_tuned_Wav2Vec2
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  results:
@@ -34,8 +34,46 @@ model-index:
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  pipeline_tag: audio-classification
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  library_name: transformers
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  tags:
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- - audio-classification
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- - speech-recognition
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- - wav2vec2
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- - english
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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  datasets:
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+ - Codec-SUPERB/Voxceleb1_test_original
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  language:
6
+ - en
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  base_model:
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+ - facebook/wav2vec2-base
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  model-index:
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  - name: Speaker_Recognition_with_fine_tuned_Wav2Vec2
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  results:
 
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  pipeline_tag: audio-classification
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  library_name: transformers
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  tags:
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+ - audio-classification
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+ - speech-recognition
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+ - wav2vec2
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+ - english
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+ metrics:
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+ - accuracy
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+ - precision
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+ - f1
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+ ---
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+ # Speaker_Recognition_with_fine_tuned_Wav2Vec2
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+
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+ ### Downstream Use
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+
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+ Speaker Recognition on the Voxceleb1['test'] split
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ Training is carried out on [Voxceleb1](https://huggingface.co/datasets/Codec-SUPERB/Voxceleb1_test_original)
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+
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+
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+ ## Evaluation
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+
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+ | Metric | Value |
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+ |:---------:|:--------:|
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+ | Accuracy | 0.985641 |
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+ | Precision | 0.984270 |
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+ | Recall | 0.983071 |
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+ | F1-score | 0.983118 |
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+ | EER | 0.003487 |
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ | Metric | Value |
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+ |:---------:|:--------:|
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+ | Accuracy | 0.95528 |
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+ | Precision | 0.937891 |
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+ | Recall | 0.944353 |
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+ | F1-score | 0.938486 |
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+ | EER | 0.013731 |