Ast Heart Murmur Classifier
This model is a fine-tuned Audio Spectrogram Transformer (AST) for heart sound classification.
Source du modèle
- Type
- Other
- Taille du fichier
- 329 MB
- Modèle de base
- MIT/ast-finetuned-audioset-10-10-0.4593
- Version
- vRevision 702d3cb
- Mis à jour
- 31 oct. 2026
- Téléchargements
- 48
- Source
- Hugging Face
Description de la source
Heart Murmur AST Classifier
This model is a fine-tuned Audio Spectrogram Transformer (AST) for heart sound classification.
Classes
| Label ID | Class |
|---|---|
| 0 | Absent |
| 1 | Murmur |
| 2 | Unknown |
Base Model
- MIT/ast-finetuned-audioset-10-10-0.4593
Dataset
Fine-tuned on the CirCor DigiScope Phonocardiogram Dataset.
Performance
- Validation Accuracy: 86.2%
- Validation Loss: 0.4385
Usage
from transformers import ASTForAudioClassification
model = ASTForAudioClassification.from_pretrained(
"rajnish612/ast-heart-murmur-classifier"
)
Feature Extractor
from transformers import AutoFeatureExtractor
feature_extractor = AutoFeatureExtractor.from_pretrained(
"MIT/ast-finetuned-audioset-10-10-0.4593"
)
Prediction
inputs = feature_extractor(
audio,
sampling_rate=16000,
return_tensors="pt"
)
outputs = model(**inputs)
prediction = outputs.logits.argmax(-1).item()
Labels
labels = {
0: "Absent",
1: "Murmur",
2: "Unknown"
}
Intended Use
This model is intended for research and educational purposes in heart sound analysis and murmur detection.
Limitations
This model is not a medical device and should not be used for clinical diagnosis.
Sources
1 source
Sources
1 sourceVérifié 31 oct.
Download files
Repository files
File inventory only; completeness is unverified.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactmodel.safetensors
safetensors · FP32 (unverified) · 329 MB · SHA-256 45b356704581…03d3 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- license: mit base_model: MIT/ast-finetuned-audioset-10-10-0.4593 pipeline_tag: audio-classification tags: - audio-classification - heart-sound-classification - heart-murmur-detection - medical-ai - transformers --- # Heart Murmur AST Classifier This model is a fine-tuned Audio Spectrogram Transformer (AST) for heart sound classification. ## Classes | Label ID | Class | |-----------|---------| | 0 | Absent | | 1 | Murmur | | 2 | Unknown | ## Base Model - MIT/ast-finetuned-audioset-10-10-0.4593 ## Dataset Fine-tuned on the CirCor DigiScope Phonocardiogram Dataset. ## Performance - Validation Accuracy: **86.2%** - Validation Loss: **0.4385** ## Usage ```python from transformers import ASTForAudioClassification model = ASTForAudioClassification.from_pretrained( "rajnish612/ast-heart-murmur-classifier" ) ``` ### Feature Extractor ```python from transformers import AutoFeatureExtractor feature_extractor = AutoFeatureExtractor.from_pretrained( "MIT/ast-finetuned-audioset-10-10-0.4593" ) ``` ### Prediction ```python inputs = feature_extractor( audio, sampling_rate=16000, return_tensors="pt" ) outputs = model(**inputs) prediction = outputs.logits.argmax(-1).item() ``` ## Labels ```python labels = { 0: "Absent", 1: "Murmur", 2: "Unknown" } ``` ## Intended Use This model is intended for research and educational purposes in heart sound analysis and murmur detection. ## Limitations This model is not a medical device and should not be used for clinical diagnosis.
Source context: 116 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo rajnish612/ast-heart-murmur-classifier
Source context: 48 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo rajnish612/ast-heart-murmur-classifier
