Acoustics, perception, and signal processing underpin sound-technology R&D

Evidence

An even stronger motivation for modelling hearing computationally originates from the engineering point of view, wherein a functional model enables emulating the functionality of hearing in numerous practical applications, especially if the model runs in real time. Such applications include, for example, speech recognition, sound reproduction, spatial audio techniques, hearing aids, and cochlear implants. Mimicking brain functions in the computational domain is also very educating and an inspiring topic: the human brain is a good engineering solution, and reverse engineering it is a good exercise in signal processing. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1564 (#exemplifies, via linked claim)

Categorization

• XREF: connects to: Sound reproduction quality depends on both physical acoustics and human perception; Acoustic engineering mostly needs cochlear knowledge, but spatial audio relies on SOC function; Computational auditory models serve knowledge, audio-quality measurement, and diagnostics — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 821 (+6 more)

Related

• Digital audio growth made understanding human audition essential (similarity 0.90)
• Real-time auditory models enable speech recognition, sound reproduction, and hearing aids (similarity 0.90)
• Audio and speech technology design should be grounded in perceptual mechanisms (similarity 0.86)
• Computational auditory models serve knowledge, audio-quality measurement, and diagnostics (similarity 0.86)
• Physically modeling sound sources enables flexible digital instruments (similarity 0.85)
• Sound technology work needs acoustics, perception, and signal processing jointly. (similarity 0.85)
• Engineering perspectives increasingly serve computational modelling of auditory perception. (similarity 0.85)
• Acoustic engineering techniques should be built from perceptual mechanisms, not physics alone. (similarity 0.85)
• Auditory models link acoustic stimulus features to perceived attributes computationally. (similarity 0.84)
• Sonic interaction design studies sound perception in active embodied contexts rather than passive listening (similarity 0.84)
• Digital audio’s rise made auditory perception knowledge essential to engineers (similarity 0.84)
• Acoustic engineering mostly needs cochlear knowledge, but spatial audio relies on SOC function (similarity 0.84)
• Acoustic engineering usually needs only cochlear models, not higher nuclei (similarity 0.84)
• Sound quality is judged as deviations from ideal amounts of perceptual dimensions (similarity 0.83)
• Loudspeaker-room interactions remain the weak link in audio reproduction chains (similarity 0.83)

Broader Connections

• Practical audio devices rest on underlying acoustics principles #exemplifies (0.90)
• Sound reproduction quality depends on both physical acoustics and human perception #expands (0.85)
• Computational auditory models serve knowledge, audio-quality measurement, and diagnostics #corroborates (0.85) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 821
• Digital audio growth made understanding human audition essential #expands (0.85)
• Real-time auditory models enable speech recognition, sound reproduction, and hearing aids #exemplifies (0.85) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1564
• Sonic interaction design studies sound perception in active embodied contexts rather than passive listening #expands (0.80) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2571
• Sound measurement has shifted from flat physical scales toward human-perception-weighted scales #exemplifies (0.80) — Schafer, Murray R, The Soundscape- Our Sonic Environment…, 440
• Perception of changing sound requires simultaneous time and frequency resolution #expands (0.75)
• Acoustic engineering mostly needs cochlear knowledge, but spatial audio relies on SOC function #complicates (0.70)