Paper Citation Record · LEDGER

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.18402.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.18402 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:00.127505Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy22
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e10cbd01-e573-4a52-bb67-c83b1ae3f4b0 · outbound

This paper cites Dunstan’s theory identifies primal, reflexive vocalizations in infants aged 0-3 months linked to specific physiological needs, verified in later studies [1].

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Dunstan’s theory identifies primal, reflexive vocalizations in infants aged 0-3 months linked to specific physiological needs, verified in later studies [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:04.801846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b7d9a3e-fb45-4661-a2b3-e26fc331f07c · outbound

This paper cites Figure 1 illustrates the frameworks of both ECAPA- TDNN and improved ECAPA-TDNN.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Figure 1 illustrates the frameworks of both ECAPA- TDNN and improved ECAPA-TDNN

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:04.547441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad89a1a6-78ca-4b25-b3ec-5dbab9ab13ca · outbound

This paper cites awake”, “diaper.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement awake”, “diaper

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:20:04.377015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 153ab706-19c4-46a3-9406-110d99bc2221 · outbound

This paper cites It integrates multi- scale feature fusion module and bidirectional temporal-channel co-attention modules.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement It integrates multi- scale feature fusion module and bidirectional temporal-channel co-attention modules

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:04.147373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8585be0c-7672-4e38-95c5-0f083a44677f · outbound

This paper cites an unresolved cited work.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:03.912546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b51a073d-86af-4788-9571-cc0e45c60de5 · outbound

This paper cites Dunstan baby language classification with CNN,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Dunstan baby language classification with CNN,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:03.707087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 741bc4e6-5d9d-4b36-913f-9ba4022f5342 · outbound

This paper cites Infant crying detection in real-world environments,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Infant crying detection in real-world environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:03.517155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ba37c98-7a7d-4601-9283-c1042436761d · outbound

This paper cites Is your baby fine at home? Baby cry sound detection in domestic environments,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Is your baby fine at home? Baby cry sound detection in domestic environments,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:03.260195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91543e01-2396-4db4-b850-e5581ebc5d63 · outbound

This paper cites Real-time baby crying detection in the noisy everyday environment,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Real-time baby crying detection in the noisy everyday environment,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:03.011758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 434ca992-4f2a-475f-b975-df203df83f18 · outbound

This paper cites Spectrogram and LSTM based infant cry detection method for infant wellness monitoring systems,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Spectrogram and LSTM based infant cry detection method for infant wellness monitoring systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:02.762879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86ddc953-2117-483e-b7fa-b0891e759231 · outbound

This paper cites A machine learning approach to classify biomedical acoustic features for baby cries,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement A machine learning approach to classify biomedical acoustic features for baby cries,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:02.516240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b0dd216-9cc1-44b2-a9ed-c96f993691d9 · outbound

This paper cites Infant cry language analysis and recognition: an experimental approach,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Infant cry language analysis and recognition: an experimental approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:02.285054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6040016-13f0-4c57-85db-3363e9d58782 · outbound

This paper cites A multistage heterogeneous stacking ensemble model for augmented infant cry classification,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement A multistage heterogeneous stacking ensemble model for augmented infant cry classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:02.024689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f207f63d-a26e-42a6-ae4f-1c32134f2113 · outbound

This paper cites Infant cry classification using transfer learning,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Infant cry classification using transfer learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:01.779266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3f4fe0a-0f3a-4590-a427-d7e11e02c27f · outbound

This paper cites Infant speech emotion recognition based on channel attention mechanism with ResNet- BiLSTM,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Infant speech emotion recognition based on channel attention mechanism with ResNet- BiLSTM,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:01.538254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92b186b6-2191-4044-b39c-77da6bd827a9 · outbound

This paper cites An automated mood analysis of crying infants through sound recognition using hybrid deep learning,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement An automated mood analysis of crying infants through sound recognition using hybrid deep learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:01.373806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8df7db1b-04f5-43d9-86c3-4665c8ba7eac · outbound

This paper cites Emotion recognition of infant crying sounds using convolutional recurrent neural network with multi-scale joint attention mechanism,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Emotion recognition of infant crying sounds using convolutional recurrent neural network with multi-scale joint attention mechanism,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:01.230833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c45a34dd-ce63-42dc-9f06-a60e10bfa341 · outbound

This paper cites A multi-scale convolutional attention neural network based on residual block downsampling for infant cry classification and detection,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement A multi-scale convolutional attention neural network based on residual block downsampling for infant cry classification and detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:01.083745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4cee861e-9a86-4a79-b83c-65f6b376371b · outbound

This paper cites A review of infant cry analysis and classification,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement A review of infant cry analysis and classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.981199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2c2d52ad-1dd5-43c8-b028-02062aa88647 · outbound

This paper cites Defining and distinguishing infant behavioral states using acoustic cry analysis: Is colic painful ?,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Defining and distinguishing infant behavioral states using acoustic cry analysis: Is colic painful ?,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.817353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d12f5310-63a9-4513-bdc6-ffd139c87298 · outbound

This paper cites Self-supervised learning for infant cry analysis,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Self-supervised learning for infant cry analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.670296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a9d19a99-3af2-4253-a96e-a52fea492a20 · outbound

This paper cites ECAPA- TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement ECAPA- TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.493060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56a5f9ee-ce62-4cc4-b05b-13d0265c47d2 · outbound

This paper cites CryCeleb: A speaker verification dataset based on infant cry sounds,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement CryCeleb: A speaker verification dataset based on infant cry sounds,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.377970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c356886-9091-4860-9ac2-e47c8547a6ad · outbound

This paper cites Improving Speaker Representations Using Contrastive Losses on Multi-scale Features.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Improving Speaker Representations Using Contrastive Losses on Multi-scale Features

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:59.955792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e387e4c-63f2-4d63-b720-2b61a86e89eb · outbound

This paper cites Differential Transformer.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Differential Transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:00.089826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5839a9f4-279d-4ea4-9f27-408f8b710511 · outbound

This paper cites Classification of Infant Crying Sounds Using SE-ResNet-Transformer,.

Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement Classification of Infant Crying Sounds Using SE-ResNet-Transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:00.264364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.