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Tutoriels5 min de lecture

Annotation de classification de genres musicaux

Créez une tâche d'annotation musicale avec visualisation de forme d'onde, aperçus de 30 secondes et étiquettes de genre hiérarchiques.

Potato Team

La classification de genres musicaux alimente les systèmes de recommandation, la génération de playlists et la découverte musicale. Ce tutoriel montre comment construire des interfaces d'annotation pour l'étiquetage de genres avec des aperçus audio et des taxonomies hiérarchiques.

Classification de genre basique

yaml
annotation_task_name: "Music Genre Classification"
task_dir: "."
 
data_files:
  - data/tracks.json
 
item_properties:
  id_key: track_id
  text_key: audio_preview
 
instance_display:
  fields:
    - key: artist
      type: text
      label: "Artist"
 
    - key: title
      type: text
      label: "Track"
 
    - key: audio_preview
      type: audio
      label: "Preview"
      display_options:
        controls: true
        show_waveform: true
 
annotation_schemes:
  - annotation_type: radio
    name: primary_genre
    description: "Select the primary genre"
    labels:
      - Rock
      - Pop
      - Hip-Hop
      - Electronic
      - Jazz
      - Classical
      - R&B
      - Country
      - Metal
      - Folk
    sequential_key_binding: true
 
output_annotation_dir: annotation_output/
export_annotation_format: jsonl

Taxonomie hiérarchique de genres

yaml
annotation_schemes:
  - annotation_type: radio
    name: genre
    description: "Primary genre"
    labels:
      - Rock
      - Electronic
      - Hip-Hop
      - Pop
      - Jazz
      - Classical
 
  - annotation_type: radio
    name: subgenre
    description: "Subgenre within the primary genre"
    labels:
      - Indie Rock
      - Punk
      - Metal
      - House
      - Techno
      - Drum & Bass
      - Boom Bap
      - Trap
      - Synth-pop
      - Bebop
      - Baroque
      - Romantic
      - Other

Étiquetage multi-labels de genres

La musique couvre souvent plusieurs genres :

yaml
annotation_schemes:
  - annotation_type: multiselect
    name: genres
    description: "Select every genre that applies, up to three"
    labels:
      - Rock
      - Pop
      - Electronic
      - Hip-Hop
      - R&B
      - Jazz
      - Classical
      - Country
      - Folk
      - Metal
      - Punk
      - Indie
      - World
      - Latin
 
  - annotation_type: radio
    name: primary_genre
    description: "Which of the genres you selected is the primary one?"
    labels:
      - Rock
      - Pop
      - Electronic
      - Hip-Hop
      - R&B
      - Jazz
      - Classical
      - Country
      - Folk
      - Metal
      - Punk
      - Indie
      - World
      - Latin

Configuration complète d'annotation musicale

yaml
annotation_task_name: "Music Tagging and Classification"
task_dir: "."
 
data_files:
  - data/music_library.json
 
item_properties:
  id_key: track_id
  text_key: preview_url
 
instance_display:
  layout:
    direction: vertical
    gap: 12px
 
  fields:
    - key: artist
      type: text
      label: "Artist"
 
    - key: title
      type: text
      label: "Track"
 
    - key: album
      type: text
      label: "Album"
 
    - key: year
      type: text
      label: "Year"
 
    - key: preview_url
      type: audio
      label: "Preview"
      display_options:
        controls: true
        show_waveform: true
 
annotation_schemes:
  - annotation_type: multiselect
    name: genres
    description: "Select all applicable genres"
    labels:
      - Rock
      - Pop
      - Electronic/Dance
      - Hip-Hop/Rap
      - R&B/Soul
      - Jazz
      - Classical
      - Country
      - Folk/Acoustic
      - Metal
      - Punk
      - Indie
      - World/International
      - Latin
      - Blues
      - Reggae
 
  - annotation_type: multiselect
    name: mood
    description: "Select the mood or moods of this track"
    labels:
      - Happy/Uplifting
      - Sad/Melancholic
      - Energetic
      - Calm/Relaxing
      - Aggressive
      - Romantic
      - Dark/Moody
      - Nostalgic
      - Motivational
 
  - annotation_type: likert
    name: energy
    description: "Energy level"
    size: 5
    min_label: "Very low energy"
    max_label: "Very high energy"
 
  - annotation_type: likert
    name: danceability
    description: "How danceable is this track?"
    size: 5
    min_label: "Not danceable"
    max_label: "Very danceable"
 
  - annotation_type: radio
    name: vocals
    description: "Vocal content"
    labels:
      - Instrumental only
      - Mostly instrumental
      - Balanced
      - Mostly vocals
      - Vocals dominant
 
  - annotation_type: radio
    name: era
    description: "Musical era or style"
    labels:
      - Pre-1970s
      - 1970s
      - 1980s
      - 1990s
      - 2000s
      - 2010s
      - 2020s
 
  - annotation_type: multiselect
    name: flags
    description: "Special flags, if any apply"
    labels:
      - Explicit content
      - Live recording
      - Remix or cover
      - Holiday/Seasonal
      - Soundtrack
      - Spoken word sections
    label_requirement:
      required: false
 
  - annotation_type: likert
    name: confidence
    description: "Confidence in your genre classification"
    size: 5
    min_label: "Uncertain"
    max_label: "Very confident"
 
annotation_instructions: |
  ## Music Tagging Guidelines
 
  ### Genre selection
  Choose one to three genres that describe the track. Prefer the most
  specific genre that fits, and fall back to a broader one when unsure.
 
  ### Mood
  Judge the overall emotional tone. A track can carry several moods.
 
  ### Energy and danceability
  Energy is tempo, intensity, and power. Danceability is rhythm, beat
  clarity, and groove. A slow track can be highly danceable.
 
  ### Listening
  Listen to at least 30 seconds, and listen past the intro. Drops and
  transitions are where the genre often becomes clear.
 
output_annotation_dir: annotation_output/
export_annotation_format: jsonl
 
user_config:
  allow_all_users: true

Format de sortie

json
{
  "id": "track_001",
  "audio_url": "/audio/preview_001.mp3",
  "metadata": {
    "artist": "The Beatles",
    "title": "Here Comes the Sun",
    "album": "Abbey Road",
    "year": 1969
  },
  "annotations": {
    "genres": ["Rock", "Pop"],
    "mood": ["Happy/Uplifting", "Nostalgic"],
    "energy": 3,
    "danceability": 2,
    "vocals": "Balanced",
    "era": "Pre-1970s (Classic)",
    "flags": [],
    "confidence": 5
  }
}

Conseils pour l'annotation musicale

  1. Casque de qualité : essentiel pour les nuances de genre
  2. Volume constant : évitez la fatigue liée aux ajustements
  3. Aperçu complet : écoutez suffisamment pour entendre les changements
  4. Connaissance des genres : familiarisez-vous avec les définitions de genres
  5. Faites des pauses : la fatigue auditive affecte le jugement

Prochaines étapes


Documentation audio complète sur Annotation audio.