{
  "field_id": "F020",
  "field": "audio signal processing",
  "directions": [
    {
      "direction_id": "G0",
      "name": "Sound-source separation and extraction",
      "scope": "Recover constituent sounds or the audio of a specified target from a mixed recording. This fully encompasses conventional separation, explicit target cues, audiovisual source association, and separation based on direction or spatial region; these branches need not use the same cues or input modalities."
    },
    {
      "direction_id": "G1",
      "name": "Audio enhancement and restoration",
      "scope": "Use an existing recording or a previously estimated signal to suppress degradation or reconstruct missing content, producing more faithful and usable audio."
    },
    {
      "direction_id": "G2",
      "name": "Sound generation and representation-based rendering",
      "scope": "Generate audio from sound-producing parameters, acoustic features, or learned representations. This encompasses both editable sound design and faithful waveform reconstruction; an individual study need not pursue both controllability and reconstruction fidelity."
    },
    {
      "direction_id": "G3",
      "name": "Spatial acoustic scene characterization",
      "scope": "Characterize relationships between sound, spatial location, and the propagation environment. This includes both inferring sound-source positions and trajectories and reconstructing or rendering acoustic responses that vary with direction and geometry; neither output is a prerequisite for the other."
    },
    {
      "direction_id": "G4",
      "name": "Acoustic recognition and classification",
      "scope": "Determine the categories or identities of sound events, scenes, speakers, or source conditions from recorded audio, rather than primarily recovering their waveforms or spatial positions."
    }
  ]
}