Woosh: A Sound Effects Foundation Model

Woosh: A Sound Effects Foundation Model | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/woosh-a-sound-effects-foundation-model

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 67%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID woosh-a-sound-effects-foundation-model | Route /signal-canvas/woosh-a-sound-effects-foundation-model

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/woosh-a-sound-effects-foundation-model

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Woosh: A Sound Effects Foundation Model

PDF: https://arxiv.org/pdf/2604.01929v1

Repository: https://github.com/SonyResearch/Woosh

Source count: Pending verification

Coverage: 67%

Last proof check: 2026-04-03T20:30:29.313Z

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Ready for execution: Woosh: A Sound Effects Foundation Model

/buildability/woosh-a-sound-effects-foundation-model

Build Nowready

Subject: Woosh: A Sound Effects Foundation Model

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Preparing verified analysis

GitHub Code Pulse

Cached

Stars

308

Health

Last commit

4/15/2026

Forks

Open repository

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
Our evaluation on both public and private data shows competitive or better performance for each module when compared to existing open alternatives like StableAudio-Open and TangoFlux.
Implicationpartial
Directly stated in abstract with supporting evaluation results
Verificationpartial
partial
Evidencepartial
Distilled text-to-audio and video-to-audio models are also included in the release, allowing for low-resource operation and fast inference.
Implicationpartial
Explicitly stated in abstract with specific technical details
Verificationpartial
partial
Evidencepartial
The system's efficiency is subject to the diversity and quality of initial datasets
Implicationpartial
Directly stated in analysis caveats section
Verificationpartial
partial
Evidencepartial
Woosh can replace traditional sound engineering tasks by automating sound effects generation, streamlining the production process
Implicationpartial
Strongly supported in disruption analysis but requires some inference about replacement
Verificationpartial
partial
Evidencepartial
leveraging latent diffusion models and the VOCOS architecture for high-quality generative sound effects.
Implicationpartial
Directly stated in science analysis section with specific technical details
Verificationpartial
partial
Evidencepartial
misalignment in text-audio can lead to suboptimal results
Implicationpartial
Directly stated in analysis caveats section
Verificationpartial
partial
Evidencepartial
together with (3) text-to-audio and (4) video-to-audio generative models.
Implicationpartial
Explicitly stated in abstract with clear technical specification
Verificationpartial
partial
Evidencepartial
with a variety of metrics such as Log-mel Distance and SI-SDR showing substantial improvements.
Implicationpartial
Strongly supported in method_eval analysis with specific metrics mentioned
Verificationpartial
partial

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Woosh: A Sound Effects Foundation Model

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