[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Int8",
    "outputSchema" : [
      {
        "isOptional" : "0",
        "keyType" : "String",
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      },
      {
        "isOptional" : "0",
        "formattedType" : "String",
        "type" : "String",
        "name" : "classLabel",
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      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 4,
    "computePrecision" : "Float16",
    "isUpdatable" : "0",
    "stateSchema" : [

    ],
    "availability" : {
      "macOS" : "10.15",
      "tvOS" : "13.0",
      "visionOS" : "1.0",
      "watchOS" : "6.0",
      "iOS" : "13.0",
      "macCatalyst" : "13.0"
    },
    "customModels" : [
      {
        "className" : "_SNSoundPrintAFeatureEmbeddingCustomModel",
        "description" : ""
      }
    ],
    "modelType" : {
      "name" : "MLModelType_pipelineClassifier",
      "structure" : [
        {
          "name" : "MLModelType_customModel"
        },
        {
          "name" : "MLModelType_neuralNetworkClassifier"
        }
      ]
    },
    "inputSchema" : [
      {
        "dataType" : "Float32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1... × 1 × 8000...240000",
        "shapeRange" : "[[1, -1], [1, 1], [8000, 240000]]",
        "formattedType" : "MultiArray (Float32 1 × 1 × 48000)",
        "type" : "MultiArray",
        "shape" : "[1, 1, 48000]",
        "name" : "audioSamples",
        "shortDescription" : ""
      }
    ],
    "classLabels" : [
      "speech",
      "male_speech",
      "female_speech",
      "child_speech",
      "conversation",
      "shout",
      "yell",
      "battle_cry",
      "children_shouting",
      "screaming",
      "whispering",
      "laughter",
      "baby_laughter",
      "giggling",
      "snicker",
      "belly_laugh",
      "chuckle_chortle",
      "crying_sobbing",
      "baby_crying",
      "sigh",
      "singing",
      "choir_singing",
      "yodeling",
      "male_singing",
      "female_singing",
      "child_singing",
      "rapping",
      "humming",
      "whistling",
      "breathing",
      "snoring",
      "gasp",
      "cough",
      "sneeze",
      "nose_blowing",
      "person_running",
      "person_shuffling",
      "person_walking",
      "chewing",
      "biting",
      "gargling",
      "burp",
      "hiccup",
      "fart",
      "slurp",
      "finger_snapping",
      "clapping",
      "heartbeat",
      "cheering",
      "applause",
      "booing",
      "chatter",
      "crowd",
      "babble",
      "dog",
      "dog_bark",
      "dog_howl",
      "dog_bow_wow",
      "dog_growl",
      "dog_whimper",
      "cat",
      "cat_purr",
      "cat_meow",
      "horse_clip_clop",
      "horse_neigh",
      "cow_moo",
      "pig_oink",
      "sheep_bleat",
      "fowl",
      "chicken",
      "chicken_cluck",
      "rooster_crow",
      "turkey_gobble",
      "duck_quack",
      "goose_honk",
      "lion_roar",
      "bird",
      "bird_vocalization",
      "bird_chirp_tweet",
      "bird_squawk",
      "pigeon_dove_coo",
      "crow_caw",
      "owl_hoot",
      "bird_flapping",
      "mouse_patter",
      "insect",
      "cricket_chirp",
      "mosquito_buzz",
      "fly_buzz",
      "bee_buzz",
      "frog",
      "frog_croak",
      "snake_hiss",
      "snake_rattle",
      "whale_vocalization",
      "coyote_howl",
      "elk_bugle",
      "music",
      "plucked_string_instrument",
      "guitar",
      "electric_guitar",
      "bass_guitar",
      "acoustic_guitar",
      "steel_guitar_slide_guitar",
      "guitar_tapping",
      "guitar_strum",
      "banjo",
      "sitar",
      "mandolin",
      "zither",
      "ukulele",
      "keyboard_musical",
      "piano",
      "electric_piano",
      "organ",
      "electronic_organ",
      "hammond_organ",
      "synthesizer",
      "harpsichord",
      "percussion",
      "drum_kit",
      "drum",
      "snare_drum",
      "bass_drum",
      "timpani",
      "tabla",
      "cymbal",
      "hi_hat",
      "tambourine",
      "rattle_instrument",
      "gong",
      "mallet_percussion",
      "marimba_xylophone",
      "glockenspiel",
      "vibraphone",
      "steelpan",
      "orchestra",
      "brass_instrument",
      "french_horn",
      "trumpet",
      "trombone",
      "bowed_string_instrument",
      "violin_fiddle",
      "cello",
      "double_bass",
      "wind_instrument",
      "flute",
      "saxophone",
      "clarinet",
      "oboe",
      "bassoon",
      "harp",
      "bell",
      "church_bell",
      "bicycle_bell",
      "cowbell",
      "tuning_fork",
      "chime",
      "wind_chime",
      "harmonica",
      "accordion",
      "bagpipes",
      "didgeridoo",
      "shofar",
      "theremin",
      "singing_bowl",
      "disc_scratching",
      "beat_boxing",
      "wind",
      "wind_rustling_leaves",
      "wind_noise_microphone",
      "thunderstorm",
      "thunder",
      "water",
      "rain",
      "raindrop",
      "stream_burbling",
      "waterfall",
      "ocean",
      "sea_waves",
      "gurgling",
      "fire",
      "fire_crackle",
      "boat_water_vehicle",
      "sailing",
      "rowboat_canoe_kayak",
      "motorboat_speedboat",
      "car_horn",
      "power_windows",
      "vehicle_skidding",
      "car_passing_by",
      "race_car",
      "truck",
      "air_horn",
      "reverse_beeps",
      "bus",
      "emergency_vehicle",
      "police_siren",
      "ambulance_siren",
      "fire_engine_siren",
      "motorcycle",
      "traffic_noise",
      "rail_transport",
      "train",
      "train_whistle",
      "train_horn",
      "railroad_car",
      "train_wheels_squealing",
      "subway_metro",
      "aircraft",
      "helicopter",
      "airplane",
      "bicycle",
      "skateboard",
      "engine",
      "lawn_mower",
      "chainsaw",
      "engine_knocking",
      "engine_starting",
      "engine_idling",
      "engine_accelerating_revving",
      "door",
      "door_bell",
      "door_sliding",
      "door_slam",
      "knock",
      "tap",
      "squeak",
      "cupboard_open_close",
      "drawer_open_close",
      "dishes_pots_pans",
      "cutlery_silverware",
      "chopping_food",
      "frying_food",
      "microwave_oven",
      "blender",
      "water_tap_faucet",
      "sink_filling_washing",
      "bathtub_filling_washing",
      "hair_dryer",
      "toilet_flush",
      "toothbrush",
      "vacuum_cleaner",
      "zipper",
      "keys_jangling",
      "coin_dropping",
      "scissors",
      "electric_shaver",
      "typing",
      "typewriter",
      "typing_computer_keyboard",
      "writing",
      "telephone",
      "telephone_bell_ringing",
      "ringtone",
      "alarm_clock",
      "siren",
      "civil_defense_siren",
      "smoke_detector",
      "foghorn",
      "ratchet_and_pawl",
      "clock",
      "tick",
      "tick_tock",
      "sewing_machine",
      "mechanical_fan",
      "air_conditioner",
      "printer",
      "camera",
      "hammer",
      "saw",
      "power_tool",
      "drill",
      "hedge_trimmer",
      "gunshot_gunfire",
      "artillery_fire",
      "cap_gun",
      "fireworks",
      "firecracker",
      "eruption",
      "boom",
      "chopping_wood",
      "wood_cracking",
      "glass_clink",
      "glass_breaking",
      "liquid_splashing",
      "liquid_sloshing",
      "liquid_squishing",
      "liquid_dripping",
      "liquid_pouring",
      "liquid_trickle_dribble",
      "liquid_filling_container",
      "liquid_spraying",
      "water_pump",
      "boiling",
      "underwater_bubbling",
      "whoosh_swoosh_swish",
      "thump_thud",
      "basketball_bounce",
      "slap_smack",
      "crushing",
      "crumpling_crinkling",
      "tearing",
      "beep",
      "click",
      "bowling_impact",
      "playing_badminton",
      "playing_hockey",
      "playing_squash",
      "playing_table_tennis",
      "playing_tennis",
      "playing_volleyball",
      "rope_skipping",
      "scuba_diving",
      "skiing",
      "silence"
    ],
    "generatedClassName" : "SNSoundClassifierVersion1Model",
    "userDefinedMetadata" : {
      "mldb_token" : "mldb-br4yno3am9",
      "denylist" : "male_speech,female_speech,child_speech,conversation,male_singing,female_singing,child_singing,fart,heartbeat,mouse_patter,beat_boxing,cupboard_open_close,cap_gun"
    },
    "neuralNetworkLayerTypeHistogram" : {
      "InnerProduct" : 1,
      "ActivationSigmoid" : 1
    },
    "method" : "predict"
  }
]