Messy Mashup Models | Sweet Tea Studio
Resources / Messy Mashup Models Messy Mashup Models Upload any audio file and get instant genre classification across 10 genres using a fine-tuned Audio Spectrogram Transformer (AST) with 4-fold ensemble inference.
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Kind Other Version v9be47b39231dfcb7cf73ad9d09c63b09880bbced License mit Publisher @josondev C grade Model source
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Version v9be47b39231dfcb7cf73ad9d09c63b09880bbced
License mit
Source Hugging Face --- title: Messy Mashup Genre Classifier emoji: 🎵 colorFrom: yellow colorTo: orange sdk: streamlit sdk_version: 1.32.0 app_file: app.py pinned: false license: mit short_description: AST 4-Fold Ensemble · 10 Music Genre Classifier --- # 🎵 Messy Mashup — Genre AI Upload any audio file and get instant genre classification across 10 genres using a fine-tuned Audio Spectrogram Transformer (AST) with 4-fold ensemble inference. **Genres:** Blues · Classical · Country · Disco · Hip-Hop · Jazz · Metal · Pop · Reggae · Rock **Model:** `MIT/ast-finetuned-audioset-10-10-0.4593` fine-tuned on the Messy Mashup dataset **Architecture:** 4-fold ensemble · chunked inference with 2s overlap · softmax averaging
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3 excerpts title: Messy Mashup Genre Classifier emoji: 🎵 colorFrom: yellow colorTo: orange sdk: streamlit sdkversion: 1.32.0 appfile: app.py pinned: false license: mit shortdescription: AST 4-Fold Ensemble · 10 Music Genre Classifier
Jul 11
Upload any audio file and get instant genre classification across 10 genres using a fine-tuned Audio Spectrogram Transformer (AST) with 4-fold ensemble inference.
josondev/messy-mashup-models
