2 datasets found
  1. P

    FSDKaggle2018 Dataset

    • paperswithcode.com
    Updated Jul 25, 2018
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    Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Favory; Jordi Pons; Xavier Serra (2018). FSDKaggle2018 Dataset [Dataset]. https://paperswithcode.com/dataset/fsdkaggle2018
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    Dataset updated
    Jul 25, 2018
    Authors
    Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Favory; Jordi Pons; Xavier Serra
    Description

    FSDKaggle2018 is an audio dataset containing 11,073 audio files annotated with 41 labels of the AudioSet Ontology. FSDKaggle2018 has been used for the DCASE Challenge 2018 Task 2. All audio samples are gathered from Freesound and are provided as uncompressed PCM 16 bit, 44.1 kHz mono audio files. The 41 categories of the AudioSet Ontology are: "Acoustic_guitar", "Applause", "Bark", "Bass_drum", "Burping_or_eructation", "Bus", "Cello", "Chime", "Clarinet", "Computer_keyboard", "Cough", "Cowbell", "Double_bass", "Drawer_open_or_close", "Electric_piano", "Fart", "Finger_snapping", "Fireworks", "Flute", "Glockenspiel", "Gong", "Gunshot_or_gunfire", "Harmonica", "Hi-hat", "Keys_jangling", "Knock", "Laughter", "Meow", "Microwave_oven", "Oboe", "Saxophone", "Scissors", "Shatter", "Snare_drum", "Squeak", "Tambourine", "Tearing", "Telephone", "Trumpet", "Violin_or_fiddle", "Writing".

  2. FSDKaggle2018

    • opendatalab.com
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jan 29, 2019
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    Universitat Pompeu Fabra (2019). FSDKaggle2018 [Dataset]. https://opendatalab.com/OpenDataLab/FSDKaggle2018
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    zip(6406880879 bytes)Available download formats
    Dataset updated
    Jan 29, 2019
    Dataset provided by
    谷歌http://google.com/
    Universitat Pompeu Fabra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    FSDKaggle2018 is an audio dataset containing 11,073 audio files annotated with 41 labels of the AudioSet Ontology. FSDKaggle2018 has been used for the DCASE Challenge 2018 Task 2, which was run as a Kaggle competition titled Freesound General-Purpose Audio Tagging Challenge.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Favory; Jordi Pons; Xavier Serra (2018). FSDKaggle2018 Dataset [Dataset]. https://paperswithcode.com/dataset/fsdkaggle2018

FSDKaggle2018 Dataset

Explore at:
42 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 25, 2018
Authors
Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Favory; Jordi Pons; Xavier Serra
Description

FSDKaggle2018 is an audio dataset containing 11,073 audio files annotated with 41 labels of the AudioSet Ontology. FSDKaggle2018 has been used for the DCASE Challenge 2018 Task 2. All audio samples are gathered from Freesound and are provided as uncompressed PCM 16 bit, 44.1 kHz mono audio files. The 41 categories of the AudioSet Ontology are: "Acoustic_guitar", "Applause", "Bark", "Bass_drum", "Burping_or_eructation", "Bus", "Cello", "Chime", "Clarinet", "Computer_keyboard", "Cough", "Cowbell", "Double_bass", "Drawer_open_or_close", "Electric_piano", "Fart", "Finger_snapping", "Fireworks", "Flute", "Glockenspiel", "Gong", "Gunshot_or_gunfire", "Harmonica", "Hi-hat", "Keys_jangling", "Knock", "Laughter", "Meow", "Microwave_oven", "Oboe", "Saxophone", "Scissors", "Shatter", "Snare_drum", "Squeak", "Tambourine", "Tearing", "Telephone", "Trumpet", "Violin_or_fiddle", "Writing".

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