{
    "name": "UrbanSound8K",
    "type": "classifier for urban sounds",
    "link": "https://essentia.upf.edu/models/classifiers/urbansound8k/urbansound8k-musicnn-msd-1.pb",
    "version": "1",
    "description": "classification of sound by the UrbanSound8K classes",
    "author": "Pablo Alonso",
    "email": "pablo.alonso@upf.edu",
    "release_date": "2021-06-24",
    "framework": "tensorflow",
    "framework_version": "1.15.0",
    "classes": [
        "air conditioner",
        "car horn",
        "children playing",
        "dog bark",
        "drilling",
        "enginge idling",
        "gun shot",
        "jackhammer",
        "siren",
        "street music"
    ],
    "model_types": [
        "frozen_model"
    ],
    "dataset": {
        "name": "UrbanSound8k",
        "link": "https://urbansounddataset.weebly.com/urbansound8k.html",
        "size": "8732",
        "metrics": {
            "5-fold_cross_validation_normalized_accuracy": 0.81
        }
    },
    "schema": {
        "inputs": [
            {
                "name": "model/Placeholder",
                "type": "float",
                "shape": [
                    187,
                    96
                ]
            }
        ],
        "outputs": [
            {
                "name": "model/Softmax",
                "type": "float",
                "shape": [
                    1,
                    10
                ],
                "op": "Softmax",
                "output_purpose": "predictions"
            },
            {
                "name": "model/dense_1/BiasAdd",
                "type": "float",
                "shape": [
                    1,
                    10
                ],
                "op": "fully connected",
                "description": "logits",
                "output_purpose": ""
            },
            {
                "name": "model/dense/BiasAdd",
                "type": "float",
                "shape": [
                    1,
                    100
                ],
                "op": "fully connected",
                "description": "penultimate layer",
                "output_purpose": ""
            }
        ]
    },
    "citation": "@article{alonso2020deep,\ntitle={Deep embeddings with Essentia models},\nauthor={Alonso-Jim{\\'e}nez, Pablo and Bogdanov, Dmitry and Serra, Xavier},\nbooktitle={International Society for Music Information Retrieval Conference (ISMIR'20) Late-Braeking/Demo},\nyear={2020}\n}",
    "inference": {
        "sample_rate": 16000,
        "algorithm": "TensorflowPredictMusiCNN"
    }
}