Pith Number

pith:4CTFA65Q

pith:2026:4CTFA65QLLDSWOVL3TJZMKAOBZ

not attested not anchored not stored refs resolved

LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classification

Hilmi R. Dajani, Marco Janeczek, Martin Bouchard, Niloofar Jazaeri

A framework combining multi-branch CNNs, Legendre Memory Units, and entropy-gated fusion improves cross-domain classification of infant cry causes.

arxiv:2603.02245 v3 · 2026-02-24 · eess.AS · cs.LG · cs.SD

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experiments on Baby2020 and Baby Crying demonstrate improved macro-F1 under cross-domain evaluation, along with leakage aware splits and real-time feasibility for on-device monitoring.

C2weakest assumption

That the combination of MFCC/STFT/F0 features, LMU temporal modeling, and entropy-gated posterior fusion will reliably mitigate dataset bias and generalize to unseen infants without post-hoc tuning or data leakage.

C3one line summary

LMU-based CNN with calibrated posterior ensemble fusion reports improved macro-F1 for cross-domain infant cry classification on Baby2020 and Baby Crying datasets.

References

23 extracted · 23 resolved · 0 Pith anchors

[1] Automated newborn cry diagnostic system using machine learning, 2022

[2] Pain cues override identity cues in baby cries, 2024

[3] Machine learning-based cry diagnostic system for identifying septic newborns, 2024

[4] Infant crying detection in real-world environments, 2022

[5] Design and implementation of infant crying monitoring and analysis system, 2024

Receipt and verification

First computed	2026-05-18T02:44:30.940841Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e0a6507bb05ac72b3aabdcd396280e0e52a9e0d30f845cfed07c12e16c3aa2af

Aliases

arxiv: 2603.02245 · arxiv_version: 2603.02245v3 · doi: 10.48550/arxiv.2603.02245 · pith_short_12: 4CTFA65QLLDS · pith_short_16: 4CTFA65QLLDSWOVL · pith_short_8: 4CTFA65Q

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4CTFA65QLLDSWOVL3TJZMKAOBZ \
  | 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: e0a6507bb05ac72b3aabdcd396280e0e52a9e0d30f845cfed07c12e16c3aa2af

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a7d22c021fbf4c91dbd485fd2209a64b34bcfd93f1a3292b4fc0d8cbb806c1ff",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.SD"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.AS",
    "submitted_at": "2026-02-24T23:44:41Z",
    "title_canon_sha256": "8f487c08b87238cf0d79ac014fcbee6bd981c141fafc0075562dc286d5d7f661"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.02245",
    "kind": "arxiv",
    "version": 3
  }
}