Ieee International Conference On Acoustics Speech And Signal Processing

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Conference positioning

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) is a top computer-science conference venue for signal processing, speech, audio, image, ML for signals, and communications signal methods. It rewards a signal-processing paper with mathematical framing and reproducible empirical validation. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

• The author names ICASSP / IEEE International Conference on Acoustics, Speech and Signal Processing as the target venue.
• A manuscript in signal processing needs a conference-fit read before being formatted or submitted.
• The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
• The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

• Core fit: signal processing, speech, audio, image, ML for signals, and communications signal methods.
• Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
• The paper should explain why the result matters to ICASSP's reviewers, not just why it is interesting to the authors' lab or product context.
• Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
• If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

• Reviewer lens: Treat ICASSP as signal processing first: mathematical signal models, audio/speech/image processing, estimation, transforms, communications signals, and reproducible experiments matter. A paper that is only generic deep learning without signal insight will look misplaced.
• Contribution hook to foreground: the venue-specific contribution bar.
• Scope vocabulary to use naturally in the abstract and introduction: signal processing, speech, audio, image, ML for signals, and communications signal methods.
• Distinctive fingerprint for reviewer calibration: signal, processing, speech, audio, image, signals, communications, methods, venue-specific, contribution, ieeeicassp.
• Official anchor domain: 2026.ieeeicassp.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

• Use this profile only when the manuscript's central contribution is genuinely in signal processing and the author can say why ICASSP reviewers are the primary audience, not merely a convenient deadline.
• Closest roster neighbors to compare before final routing: ieee-conference-on-virtual-reality- and-3d-user-interfaces (IEEE VR), international-conference-on-computational-linguistics (COLING), acm-sigir-conference-on-human-information-interaction-and-retrieval (CHIIR), acm-ieee-joint-conference-on-digital-libraries (JCDL). Break ties by contribution type,