Datasets:
File size: 1,876 Bytes
6c1c833 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"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."
}
]
}
|