Computational auditory scene analysis targets human-level performance without imitating the ear

Evidence

Auditory scene analysis (ASA) was presented in Section 11.7.2. Computational auditory scene analysis (CASA) is defined by Wang and Brown (2006) as ‘the field of computational study that aims to achieve human performance in ASA by using one or two microphone recordings of the acoustic scene.’ Note that the definition does not say that the human auditory system should be imitated in the processing, only that the performance of the system should match that of a human. Human performance seems difficult to achieve, as we are very good at analysing complex acoustic scenes containing sound from multiple sources through reverberant rooms. The current CASA methods hardly achieve human performance levels in such tasks. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2574

Categorization

• DEFINE: Defines CASA precisely and clarifies the crucial point that it targets human-level performance, not imitation of the human auditory system.
• corroborated: 2 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2574
• XREF: connects to: Computational auditory models serve knowledge, audio-quality measurement, and diagnostics — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 821; Auditory scene analysis organizes sound events into perceptual streams; Scene analysis principles apply to cross-modal audiovisual speech mixtures.