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scream_detection_heavy_metal

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Audio Classification
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metadata
task_categories:
  - audio-classification
language:
  - en
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: scream_type
      dtype: string
    - name: song_name
      dtype: string
    - name: band_name
      dtype: string
    - name: album_name
      dtype: string
    - name: release_year
      dtype: int64
    - name: video_id
      dtype: string
    - name: timestamp_start
      dtype: float64
    - name: timestamp_end
      dtype: float64
    - name: sample_rate
      dtype: int64
  splits:
    - name: train
      num_bytes: 114577942.825
      num_examples: 1575
  download_size: 119156239
  dataset_size: 114577942.825
license: mit
tags:
  - music
size_categories:
  - 1K<n<10K
pretty_name: Scream classification in heavy metal music

Dataset card for Scream Detection in Heavy Metal Music

This dataset contains the processed dataset used in the paper "Scream Detection in Heavy Metal Music" (Kalbag & Lerch, 2022) from the Georgia Institute of Technology.

This dataset contains annotations of 57 songs, distributed over 34 bands and 47 albums. The vocal events are labelled into 5 classes:

  • Clean (or sung vocal)
  • Low Fry Scream
  • Mid Fry Scream
  • High Fry Scream
  • Layered Vocals

The label "Layered Vocals" has been applied to cases where there are examples of two or more classes present simultaneously.

Paper: Scream Detection in Heavy Metal Music

Kalbag, V., & Lerch, A. (2022). Scream detection in heavy metal music. arXiv preprint arXiv:2205.05580.

How to use

Load the dataset from huggingface in your notebook:

!pip install datasets[audio]

import datasets

dataset = datasets.load_dataset("jpdiazpardo/scream_detection_heavy_metal")

Data Fields

  • audio: the trimmed audio file from the song.
  • scream_type: the target variable for classification i.e. layered, lowfry, highfry, midfry, clean.
  • song_name: the name of the song.
  • band_name: the name of the artist performing the song.
  • album_name: the name of the album where the song was released.
  • release_year: the release year of the song.
  • video_id: the YouTube video id.
  • timestamp_start: the start time of the snippet from the full audio.
  • tiemstamp_end: the end time of the snippet from the full audio.
  • sample_rate: the sampling rate of the audio.

Youtube playlist: Scream Detection Dataset

Source Data

band_name album_name song_name release_year duration_seconds video_id bit_depth bitrate channels sample_rate 3class_split 6class_split
Abbath Abbath Ashes Of The Damned 2016 238.097415 K5pMoSECagE 16 1411200 2 44100 test/valid test/valid
After The Burial Dig Deep Lost In The Static 2016 271.2787302 hUNAX1UYeAE 16 1411200 2 44100 train train
Amon Amarth Surtur Rising Destroyer of the Universe 2011 224.1886621 5aaOqUYG8Tw 16 1411200 2 44100 train train
Amon Amarth Twilight of the Thunder God Live For The Kill 2008 249.7538322 Bh_5ofa__pY 16 1411200 2 44100 train train
Amon Amarth Twilight of the Thunder God Twilight Of The Thunder God 2008 265.5898413 edBYB1VCV0k 16 1411200 2 44100 train train
Be'lakor Stone's Reach Venator 2009 517.9559375 ainbICPRV8Y 16 1536000 2 48000 train train
Behemoth I Loved You at Your Darkest Ecclesia Diabolica Catholica 2018 324.3363265 HKWqzjQAv14 16 1411200 2 44100 train train
Behemoth I Loved You at Your Darkest Bartzabel 2018 320.9462132 Dhfy9TPga-c 16 1411200 2 44100 train train
Behemoth The Satanist Blow Your Trumpets Gabriel 2013 297.9352381 Czx-OIyrQwQ 16 1411200 2 44100 train train
Born of Osiris Angel or Alien White Nile 2021 229.0300417 4ShzP_M7W-k 16 1536000 2 48000 train train
Cannibal Corpse A Skeletal Domain High Velocity Impact Spatter 2014 246.9442177 B3F10hXdmQY 16 1411200 2 44100 train train
Children of Bodom Hexed Under Grass And Clover 2019 213.0663039 1gpfzCxiQ-A 16 1411200 2 44100 test/valid test/valid
Children of Bodom Are You Dead Yet? Living Dead Beat 2005 318.1365986 gG3JZ5vGJsk 16 1411200 2 44100 test/valid test/valid
Children Of Bodom Are You Dead Yet? Are You Dead Yet 2005 236.2630385 aNJXS9X0yY0 16 1411200 2 44100 train train
Children of Bodom Hate Crew Deathroll Sixpounder 2003 213.3449433 09KScSe4hIc 16 1411200 2 44100 test/valid test/valid
Children Of Bodom Follow the Reaper Everytime I Die 2000 241.650068 5cEK1OLhUKQ 16 1411200 2 44100 train train
Children Of Bodom Are You Dead Yet? In Your Face 2005 236.2630385 5SgN5lvWZwQ 16 1411200 2 44100 train train
Dark Tranquillity Lost to Apathy Lost to Apathy 2004 240.8838095 GZqfH1LQEOQ 16 1411200 2 44100 test/valid test/valid
Dark Tranquillity Atoma Atoma 2016 262.8266667 C_voh9WFbsM 16 1411200 2 44100 test/valid test/valid
Death Leprosy Pull the Plug 1988 266.8204989 _duhhVa-dk8 16 1411200 2 44100 train train
Death Individual Thought Patterns The Philosopher 1993 216.3867708 8256VJ4hkJU 16 1536000 2 48000 train train
Decapitated Anticult Kill The Cult 2017 296.1705215 kQUTQTNChbE 16 1411200 2 44100 train train
Decapitated Blood Mantra Blood Mantra 2014 305.9693424 8gILuUdY2cU 16 1411200 2 44100 train train
Ensiferum Unsung Heroes In My Sword I Trust 2012 330.6753741 -2WqQY_xSSM 16 1411200 2 44100 test/valid test/valid
Enslaved Caravans To The Outer Worlds Caravans To The Outer Worlds 2021 382.3165533 ErTgN2zoTkA 16 1411200 2 44100 train train
Godless Swarm Deathcult 2018 250.9844898 1CdtbR9JHCA 16 1411200 2 44100 train train
Gojira Magma Stranded 2016 272.4397279 FNdC_3LR2AI 16 1411200 2 44100 test/valid test/valid
Gojira Magma Silvera 2016 214.0647619 iVvXB-Vwnco 16 1411200 2 44100 test/valid test/valid
Immortal Northern Chaos Gods Northern Chaos Gods 2018 265.4273016 c5uP9PlEDro 16 1411200 2 44100 train train
In Flames Reroute to Remain Cloud Connected 2002 223.3295238 B7iIS91fMAc 16 1411200 2 44100 train train
Lamb of God Lamb of God Memento Mori 2020 345.3503958 hBj0-dIU8HI 16 1536000 2 48000 train train
Lamb of God Ashes of the Wake Laid to Rest 2004 234.1732426 HL9kaJZw8iw 16 1411200 2 44100 train train
Lamb of God Ashes of the Wake Omerta 2004 287.5559184 -xYZM04JxnQ 16 1411200 2 44100 train train
Lamb of God Ashes of the Wake Now You've Got Something to Die For 2004 219.8000907 0m5fIHHfJTw 16 1411200 2 44100 train train
Lamb of God Ashes of the Wake The Faded Line 2004 278.8019955 JuRRnVqv2Vc 16 1411200 2 44100 train train
Ne Obliviscaris Citadel Pyrrhic 2014 590.1351667 dCyxGNbBWAk 16 1536000 2 48000 test/valid test/valid
Ne Obliviscaris Portal of I And Plague Flowers the Kaleidoscope 2012 692.8533333 BNyYiTdqzAY 16 1536000 2 48000 test/valid test/valid
Nevermore This Godless Endeavor Born 2005 255.8374603 impRqn44OCA 16 1411200 2 44100 train train
Of Mice & Men Restoring Force Bones Exposed 2014 271.0697506 IO-JbFtgeX4 16 1411200 2 44100 test/valid test/valid
Of Mice & Men Timeless Obsolete 2021 270.0712925 hxu3KXVy48w 16 1411200 2 44100 test/valid test/valid
Opeth Blackwater Park Blackwater Park 2001 732.8798333 j4xCb_OU_lM 16 1536000 2 48000 train train
Parkway Drive Horizons Carrion 2007 188.0119728 BR2kSva4NT8 16 1411200 2 44100 train train
Rings of Saturn Lugal Ki En Senseless Massacre 2014 214.3333333 F3A_3c882us 16 1536000 2 48000 test/valid test/valid
Slayer Seasons in the Abyss War Ensemble 1990 302.2541497 jqnC54vbUbU 16 1411200 2 44100 train train
Slayer South of Heaven South Of Heaven 1988 298.5333333 74nTzbgDGWM 16 1536000 2 48000 train train
Slipknot All Hope Is Gone Psychosocial 2008 302.1148299 5abamRO41fE 16 1411200 2 44100 test/valid test/valid
Suffocation …Of the Dark Light Clarity Through Deprivation 2017 244.1810431 HUUBI7RJtr8 16 1411200 2 44100 test/valid test/valid
Suicide Silence The Cleansing No Pity for a Coward 2007 191.9361451 hwxTEcHnC1o 16 1411200 2 44100 train train
Suicide Silence No Time to Bleed Disengage 2009 246.9442177 FukeNR1ydOA 16 1411200 2 44100 train train
Suicide Silence The Black Crown You Only Live Once 2011 192.6095238 ds9s-pzGD0M 16 1411200 2 44100 train train
Suicide Silence The Black Crown Slaves To Substance 2011 230.1329705 k27N-jRofrM 16 1411200 2 44100 train train
Tesseract Odyssey Nocturne 2015 271.0233107 get0cXOsSXg 16 1411200 2 44100 train train
Textures Silhouettes Storm Warning 2008 346.8829025 4600fGWcn9o 16 1411200 2 44100 train train
Textures Silhouettes Old Days Born Anew 2008 337.3627211 731QmPnjqe4 16 1411200 2 44100 train train
Thy Art Is Murder Hate Reign Of Darkness 2012 236.1004989 47Plg93oJ1M 16 1411200 2 44100 train train
Veil of Maya False Idol Overthrow 2017 237.2847166 GLu-E42-RmA 16 1411200 2 44100 test/valid test/valid
Wintersun Time I Time 2012 704.7720635 ebSxxr726_8 16 1411200 2 44100 train train

Initial Data Collection and Normalization

The data was collected from the YouTube playlist above and trimmed using the timestamps provided in the dataset.

The audio files were passed through the Spleeter (Hennequin et al., 2020) source separation algorithm to separate the vocals from the other components.

Licensing Information

MIT License

Copyright (c) 2022 Vedant Kalbag

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Citation Information 

@article{
  title={Scream Detection in Heavy Metal Music},
  author={Vedant Kalbag and Alexabder Lerch},
  journal={ArXiv},
  year={2022},
  volume={2205.05580}
}

@article{
  Hennequin2020,
  doi = {10.21105/joss.02154},
  url = {https://doi.org/10.21105/joss.02154},
  year = {2020}, publisher = {The Open Journal},
  volume = {5}, number = {50}, pages = {2154},
  author = {Romain Hennequin and Anis Khlif and Felix Voituret and Manuel Moussallam},
  title = {Spleeter: a fast and efficient music source separation tool with pre-trained models},
  journal = {Journal of Open Source Software}
}