Skills Data Science Selecting The Right Venue For Signal Processing

Selecting The Right Venue For Signal Processing

v20260724
icassp-topic-selection
A comprehensive guide for researchers determining the best conference or journal for their signal processing contribution. It helps users identify the core signal-processing primitive (e.g., estimator, transform, representation) to correctly route work between major venues like ICASSP, Interspeech, ICIP, or general ML conferences.
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Overview

ICASSP Topic Selection

Use this before writing. ICASSP is the IEEE Signal Processing Society flagship, and its defining feature is breadth: speech and audio, image and video, communications and radar, sensor arrays, estimation and detection theory, and machine learning for signals all review under one roof. Speech is one track among many, not the identity of the venue. A project fits when its contribution changes a signal-processing primitive and can be proved in four pages.

Find the signal-processing primitive

Name what the contribution actually is:

  • A new estimator, transform, filter, or detector; a new representation or embedding; a new objective or inference procedure; a resource (corpus/benchmark); or a model-based-deep-learning result that changes a block of the signal chain.
  • If no signal-processing primitive exists — the paper is generic ML with no signal model — ICASSP is likely the wrong venue (see the re-route table).

The ICASSP-vs-Interspeech routing decision (read this for any speech paper)

Speech papers can go to either venue, and picking wrong costs a cycle. They differ on mechanics as much as on scope:

Dimension ICASSP (IEEE SPS) Interspeech (ISCA)
Scope All signal processing; speech is one track Speech and spoken language only
Culture Signal-processing methods, math-forward Speech-science + engineering, spoken-language focus
Format 4+1 (4 content pages + reference page) 4+1 (4 content + reference page), different template
Anonymity Single-blind — author list included Double-anonymous with a pre-deadline anonymity period
Deadline September (autumn) Late February (winter)
Portal CMS (cmsworkshops.com) Microsoft CMT
Proceedings IEEE Xplore ISCA Archive, open access

Decision rule: route to ICASSP when the contribution is a signal-processing method whose speech application is one instance (a new front-end, estimator, separation objective, or array technique), or when the September calendar and single-blind culture fit. Route to Interspeech when the contribution is fundamentally about spoken language — phonetics, prosody, dialogue, speech science, or a speech-specific model where the linguistic content is the point — or when the February calendar and double-blind norms fit. When both fit, let deadline and reviewer community decide.

Fit signal table (full ICASSP breadth)

Signal in the project ICASSP reading
New estimator/filter/detector with a signal model + evaluation Core fit — the house genre
Speech/audio method framed as a signal-processing mechanism Core fit (vs Interspeech if it is spoken-language-centric)
Image/video restoration, coding, or analysis Core fit (compare ICIP for image-specific work)
Communications, radar, array, or sensor signal processing Core fit
Generic deep net with strong benchmarks but no signal insight Better at NeurIPS/ICML/ICLR/AAAI
A finished, journal-length result with extensive theory An SPS journal (TSP/TASLP/SPL)

Re-route table

  • Generic ML, no signal model → NeurIPS, ICML, ICLR, AAAI.
  • Spoken-language-centric speech → Interspeech (or SLT/ASRU for those subfields).
  • Image-specific → ICIP; European/audio-workshop → EUSIPCO, WASPAA, DCASE.
  • Journal-length, finished → IEEE TSP, TASLP, SPL, TIP, or a sibling SPS journal; consider the OJSP-ICASSP track to present at ICASSP while publishing open-access in a journal.

Sharpening moves before committing

  • State the primitive in one sentence; if you cannot, the ICASSP framing does not yet exist.
  • Confirm the result fits four pages with a task-matched metric and a standard baseline; a claim that needs journal-length exposition should go to an SPS journal or the OJSP track.
  • For speech work, run the ICASSP-vs-Interspeech table explicitly rather than defaulting to whichever deadline is closer.
  • Subject-area emphasis drifts by cycle; scan the current EDICS list before final routing.

Output format

[Fit] strong ICASSP / possible ICASSP / better elsewhere
[Primitive] estimator / transform / representation / objective / resource / model-based-DL / none
[If speech] ICASSP vs Interspeech -> <decision + reason (scope/calendar/blinding)>
[Best venue] ICASSP / Interspeech / ICIP / EUSIPCO / WASPAA / SPS journal / ML venue
[Contribution sentence] <one signal-processing claim>
[Next action] <framing, experiment, or venue switch>
Info
Category Data Science
Name icassp-topic-selection
Version v20260724
Size 4.9KB
Updated At 2026-07-28
Language