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pith:TF4ALPSY

pith:2026:TF4ALPSYQF3YD46PO4JYNHTC7A

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A Benchmark for Early-stage Parkinson's Disease Detection from Speech

Bastiaan R. Bloem, Cristian Tejedor-Garcia, Janna Maas, Khiet P. Truong, Louis ten Bosch, Terry Yi Zhong

A benchmark with speaker-independent splits standardizes evaluation of speech-based early Parkinson's detection.

arxiv:2605.14066 v1 · 2026-05-13 · eess.AS · cs.AI · cs.CL · cs.SD

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Claims

C1strongest claim

we propose the first benchmark for speech-based EarlyPD detection, with a speaker-independent split designed for fair and replicable cross-method evaluation on researcher-accessible datasets.

C2weakest assumption

The selected datasets and speech tasks sufficiently represent real-world early-stage Parkinson's cases, and the speaker-independent split prevents data leakage while enabling generalization to new patients.

C3one line summary

The paper establishes the first benchmark for speech-based early Parkinson's disease detection with speaker-independent evaluation and multi-dimensional breakdowns.

References

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[1] Speech impairment can appear early, sometimes years before prominent motor symptoms, and typically worsens with disease progression [2, 3]

[2] A Benchmark for Early-stage Parkinson's Disease Detection from Speech 2026 · arXiv:2605.14066

[3] HC detection

[4] Training Data Settings We benchmark speech-based EarlyPD detection under four training-data settings

[5] Main Results Table 1 presents the main benchmark results across all training settings, models, and tasks

Cited by

1 paper in Pith

A Benchmark for Early-stage Parkinson's Disease Detection from Speech

Receipt and verification

First computed	2026-05-17T23:39:12.473492Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

997805be58817781f3cf7713869e62f826c53e6cc39b29ad8a7e67d7188e9d60

Aliases

arxiv: 2605.14066 · arxiv_version: 2605.14066v1 · doi: 10.48550/arxiv.2605.14066 · pith_short_12: TF4ALPSYQF3Y · pith_short_16: TF4ALPSYQF3YD46P · pith_short_8: TF4ALPSY

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TF4ALPSYQF3YD46PO4JYNHTC7A \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 997805be58817781f3cf7713869e62f826c53e6cc39b29ad8a7e67d7188e9d60

Canonical record JSON

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    "primary_cat": "eess.AS",
    "submitted_at": "2026-05-13T19:43:01Z",
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