{
  "name": "gender",
  "type": "multi-class classifier",
  "link": "https://essentia.upf.edu/models/classifiers/gender/gender-musicnn-msd-2.pb",
  "version": "1",
  "description": "classification of vocal music by gender (male/female)",
  "author": "Pablo Alonso",
  "email": "pablo.alonso@upf.edu",
  "release_date": "2020-07-07",
  "framework": "tensorflow",
  "framework_version": "1.15.0",
  "classes": ["female", "male"],
  "model_types": ["frozen_model"],
  "dataset": {
    "name": "In-house MTG collection",
    "size": "3311 full tracks, 1508/1803 per class",
    "metrics": {
      "5-fold_cross_validation_normalized_accuracy": 0.88
    }
  },
  "schema": {
    "inputs": [
      {
        "name": "model/Placeholder",
        "type": "float",
        "shape": [187, 96]
      }
    ],
    "outputs": [
      {
        "name": "model/Sigmoid",
        "type": "float",
        "shape": [1, 2],
        "op": "Sigmoid",
        "output_purpose": "predictions"
      },
      {
        "name": "model/dense_2/BiasAdd",
        "type": "float",
        "shape": [1, 2],
        "op": "fully connected",
        "description": "logits",
        "output_purpose": ""
      },
      {
        "name": "model/dense_1/BiasAdd",
        "type": "float",
        "shape": [1, 100],
        "op": "fully connected",
        "description": "penultimate layer",
        "output_purpose": ""
      },
      {
        "name": "model/dense/BiasAdd",
        "type": "float",
        "shape": [1, 200],
        "op": "fully connected",
        "output_purpose": "embeddings"
      }
    ]
  },
  "citation": "@inproceedings{alonso2020tensorflow,\n  title={Tensorflow Audio Models in Essentia},\n  author={Alonso-Jim{\\'e}nez, Pablo and Bogdanov, Dmitry and Pons, Jordi and Serra, Xavier},\n  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n  year={2020}\n}",
  "inference": {
    "sample_rate": 16000,
    "algorithm": "TensorflowPredictMusiCNN"
  }
}
