Ast Fine Tuned Music Genre 10

--- language: en license: mit tags: - audio-classification - music - transformer - ast - pytorch pipeline_tag: audio-classification model-index: - name: Music Genre AST results: - task: type: audio-classification dataset: name: Messy Mashup Dataset type: custom # ✅ REQUIRED FIX metrics: - type: f1 value: 0.XX demo: https://huggingface.co/spaces/msaligs/music-genre-classifier --- # 🎵 Music Genre Classification using AST ## 📌 Model Overview This model is a fine-tuned Audio Spectrogram Transformer (AST) for music genre classification. It predicts one of the following 10 genres: - blues, classical, country, disco, hiphop - jazz, metal, pop, reggae, rock --- ## 🧠 Architecture - Base Model: MIT/ast-finetuned-audioset - Type: Transformer (Audio Spectrogram Transformer) - Framework: PyTorch + Hugging Face Transformers --- ## 🎯 Task Audio Classification (Music Genre Classification) --- ## 📊 Dataset - Training Data: Clean instrument stems (drums, vocals, bass, others) - Test Data: Noisy mashups with: - cross-song mixing - tempo variation - ESC-50 noise injection --- ## ⚙️ Preprocessing - Sampling rate: 16kHz - Fixed duration: 15 seconds - Padding / truncation applied - Feature extraction using ASTFeatureExtractor --- ## 📈 Performance - Metric: Macro F1 Score - Achieved: 0.87 --- ## 🔗 Live Demo Try the model here: 👉 https://huggingface.co/spaces/msaligs/music-genre-classifier ## 🚀 Usage ```python from transformers import ASTForAudioClassification, ASTFeatureExtractor model = ASTForAudioClassification.from_pretrained("msaligs/ast_fine_tuned_music_genre_10") feature_extractor = ASTFeatureExtractor.from_pretrained("msaligs/ast_fine_tuned_music_genre_10")

Source context: 54 downloads · 1 likes · Pipeline audio-classification · Repo msaligs/ast_fine_tuned_music_genre_10

Source context: 7 downloads · 1 likes · Pipeline audio-classification · Repo msaligs/ast_fine_tuned_music_genre_10