Journal of the Audio Engineering Society
publication·academic journal·active·also: JAES
Peer-reviewed audio-engineering journal with a dedicated machine-learning and AI section.
Recorded facts
| Official site | https://aes.org/publications/journal/ ↗ |
|---|---|
| Geography | United States / global |
| issn | 1549-4950 |
| topics | audio engineering; machine learning and AI for audio; deepfakes; voice cloning; music technology |
| cadence | 10 issues per year. |
| language | English |
| category fit | Dedicated journal section covers ML and AI for audio, including musical applications. |
| channel type | academic_journal |
| owner operator | Audio Engineering Society |
| current activity | Volume 74 published current issues through June 2026. |
| intended audience | audio researchers; engineers; industry practitioners |
| relationship notes | Official journal of known entity org_aes. |
| online offline state | online |
| public audience size | unknown |
| business access model | Member and institutional access with selected open-access material. |
| official access route | https://aes.org/publications/journal/ |
| editorial independence | Peer-reviewed association journal; editorially governed by AES. |
| latest activity evidence | date: 2026-06 · source url: https://aes.org/publications/journal-online/ · description: Volume 74, issue 6 listed in the online issue archive. |
| editorial or governance leadership | Brian F. G. Katz — editor |
Current
| published by | Audio Engineering SocietySource 1 ↗ VERIFIED high confidence |
|---|
Sources & changes
Checked 10d ago · highhow verification works
Field-level evidence
Public change history
- Status unknown → active
- Official URL unknown → aes.org/publications/journal
- Record maintenance · 12 fields updated
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