Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations

Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/prosodic-abx-a-language-agnostic-method-for-measuring-prosodic-contrast-in-speech-representations

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

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 prosodic-abx-a-language-agnostic-method-for-measuring-prosodic-contrast-in-speech-representations | Route /signal-canvas/prosodic-abx-a-language-agnostic-method-for-measuring-prosodic-contrast-in-speech-representations

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/prosodic-abx-a-language-agnostic-method-for-measuring-prosodic-contrast-in-speech-representations

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: Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations

PDF: https://arxiv.org/pdf/2604.02102v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:40.241Z

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Not build-ready: Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations

/buildability/prosodic-abx-a-language-agnostic-method-for-measuring-prosodic-contrast-in-speech-representations

Ignoreblocked

Subject: Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Preparing verified analysis

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No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
We introduce prosodic ABX, an extension of this framework to evaluate prosodic contrast with only a handful of examples and no explicit labels.
Implicationpartial
Directly stated in the abstract as the main contribution of the paper.
Verificationpartial
partial
Evidencepartial
to evaluate prosodic contrast with only a handful of examples and no explicit labels.
Implicationpartial
Explicitly stated in the abstract as a key feature of the method.
Verificationpartial
partial
Evidencepartial
we build and release a dataset of English and Japanese minimal pairs
Implicationpartial
Directly stated in the abstract as a specific contribution.
Verificationpartial
partial
Evidencepartial
use it along with a Mandarin dataset to evaluate contrast in English stress, Japanese pitch accent, and Mandarin tone.
Implicationpartial
Directly stated in the abstract with specific language examples.
Verificationpartial
partial
Evidencepartial
we show that model and layer rankings are often preserved across several experimental conditions
Implicationpartial
Directly stated in the abstract as a finding, though 'often' suggests some variability.
Verificationpartial
partial
Evidencepartial
making it practical for low-resource settings.
Implicationpartial
Directly stated in the abstract as an implication of the ranking preservation finding.
Verificationpartial
partial
Evidencepartial
Speech representations from self-supervised speech models (S3Ms) are known to be sensitive to phonemic contrasts, but their sensitivity to prosodic contrasts has not been directly measured.
Implicationpartial
Directly stated in the abstract as background and motivation for the work.
Verificationpartial
partial
Evidencepartial
The ABX discrimination task has been used to measure phonemic contrast in S3M representations via minimal pairs.
Implicationpartial
Directly stated in the abstract as established background methodology.
Verificationpartial
partial

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Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations

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