Paper Citation Record · LEDGER

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.20007.

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

pith.paper-citation-record.v1
2505.20007 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:25.935688Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:23.506269Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:07:26.629736Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy24
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85b01d42-30f7-49ea-b4fc-04c115e0578d · outbound

This paper cites an unresolved cited work.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:31.813394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81b16ec7-6582-4c28-86f0-6b083741b15a · outbound

This paper cites Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:07:26.810012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c62b6e52-2cd3-4500-8546-f3c16ae7c59c · outbound

This paper cites an unresolved cited work.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:07:31.609964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1410ac3-3a42-43f1-b9c4-34b3631ebd7d · outbound

This paper cites Dataset The provided challenge data consist of recordings from the MSP-Podcast dataset [23].

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Dataset The provided challenge data consist of recordings from the MSP-Podcast dataset [23]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:31.461658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fff3cdf-f16f-422f-ae8d-60ccb7663244 · outbound

This paper cites Half of these models were trained us- ing only WCE loss, while the remaining half were trained with the additional batch balancing and SML loss.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Half of these models were trained us- ing only WCE loss, while the remaining half were trained with the additional batch balancing and SML loss

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:31.325643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f77ffcb1-d802-4a98-a13d-f96582f07e1d · outbound

This paper cites Notably, the pro- posed architecture benefits from the combination of multiple modalities, with its worst performance occurring when only a single modality is used.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Notably, the pro- posed architecture benefits from the combination of multiple modalities, with its worst performance occurring when only a single modality is used

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:31.163315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86cb8479-fc75-4ff5-8695-511c8774c39f · outbound

This paper cites It is also supported by FAPESP (BI0S #2020/09838-0 and Ho- rus #2023/12865-8).

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model It is also supported by FAPESP (BI0S #2020/09838-0 and Ho- rus #2023/12865-8)

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:07:26.534556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7f809d7-b7e8-49cb-a12b-e003f6c165ee · outbound

This paper cites Speech emotion recognition from voice messages recorded in the wild,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Speech emotion recognition from voice messages recorded in the wild,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:31.043328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2d137f5-ecde-482a-94f4-8723403ca5f7 · outbound

This paper cites Acoustic Emotion Recognition for Affective Computer Gaming,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Acoustic Emotion Recognition for Affective Computer Gaming,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:29.460374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f97c11c4-f9da-4bbf-b0ff-d872d2b3b93e · outbound

This paper cites Speech emotion recognition using machine learning — A systematic review,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Speech emotion recognition using machine learning — A systematic review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:30.911806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7455f5c0-df4e-455c-a364-aacf3dd60a6d · outbound

This paper cites Speech Emotion Recognition in Neurological Disorders Using Convolutional Neu- ral Network,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Speech Emotion Recognition in Neurological Disorders Using Convolutional Neu- ral Network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:30.705017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa7754ff-ee80-4b51-97b2-e64fd05fb0d5 · outbound

This paper cites Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:30.529284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6b8a47f-37a0-4a9f-a109-23c45955205f · outbound

This paper cites Negative Emotion Recognition using Deep Learning for Thai Language,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Negative Emotion Recognition using Deep Learning for Thai Language,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:30.257569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36976519-c9c0-42c3-a844-50b01338b691 · outbound

This paper cites Negative emotions detection as an indicator of dialogs quality in call centers,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Negative emotions detection as an indicator of dialogs quality in call centers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:30.023504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c8ce4c1-fad4-4ff1-9edc-ed23994d1870 · outbound

This paper cites Using Paralinguistic Cues in Speech to Recognise Emotions in Older Car Drivers,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Using Paralinguistic Cues in Speech to Recognise Emotions in Older Car Drivers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:29.861643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 257c00ae-18b7-4a35-acd2-3978261093c2 · outbound

This paper cites Affective Human-Robotic Interac- tion,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Affective Human-Robotic Interac- tion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:29.688898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67bd16b8-eb3b-4c0b-b3cf-29a25965f6c9 · outbound

This paper cites Multimodal emotion recognition using cross-modal attention and 1d convolutional neural networks.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Multimodal emotion recognition using cross-modal attention and 1d convolutional neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.902950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 438fe95a-3f1c-40d2-ba53-e49f31e543e6 · outbound

This paper cites Speech emotion recognition combining acoustic features and linguistic information in a hy- brid support vector machine-belief network architecture,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Speech emotion recognition combining acoustic features and linguistic information in a hy- brid support vector machine-belief network architecture,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:29.212818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30f96a3f-3b1a-4e22-bc5a-46487e6c690b · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:24.800948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11753f69-f739-4061-9930-c3d3f32e05c7 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:24.849791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548b8aa6-054a-4591-ab42-50cf786f7968 · outbound

This paper cites Multimodal Emotion Recognition,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Multimodal Emotion Recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:28.908352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92362960-d51c-4aeb-a1e2-e5be6b502f46 · outbound

This paper cites 1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model 1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:28.610132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c417e31a-acc9-48b6-9e38-603fdb8651eb · outbound

This paper cites Naturalspeech 3: zero-shot speech synthesis with factorized codec and diffusion models,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Naturalspeech 3: zero-shot speech synthesis with factorized codec and diffusion models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:28.403961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9efa3cfc-be32-4808-9d16-fd2946423efa · outbound

This paper cites Emotion recogni- tion through multiple modalities: face, body gesture, speech,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Emotion recogni- tion through multiple modalities: face, body gesture, speech,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:28.182628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 719ee80e-8b33-41e2-b265-214c4917f5ad · outbound

This paper cites Amphion: An Open-Source Audio, Music and Speech Generation Toolkit.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:25.853072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456ed2e1-8f2a-4837-82b3-a2bb1ed2a09b · outbound

This paper cites Using transformers for mul- timodal emotion recognition: Taxonomies and state of the art review,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Using transformers for mul- timodal emotion recognition: Taxonomies and state of the art review,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.772006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d96251dc-d414-423a-af73-20c24b5721a1 · outbound

This paper cites Deep neural networks for emotion recognition com- bining audio and transcripts,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Deep neural networks for emotion recognition com- bining audio and transcripts,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.647203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b90d3cd5-7c2c-433e-a73e-9ace91887ee0 · outbound

This paper cites Multimodal emotion recognition with transformer-based self supervised feature fusion,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Multimodal emotion recognition with transformer-based self supervised feature fusion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.492322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9443443c-afb9-4378-8e89-84eef59d008b · outbound

This paper cites The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:25.500356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb908dc-9e08-4f78-9e9d-1596ea8d4e10 · outbound

This paper cites Stacked generalization,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Stacked generalization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.207307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3280dc54-e0eb-480d-8e42-a32c1dc5b4d1 · outbound

This paper cites The interspeech 2025 challenge on speech emotion recognition in naturalistic conditions,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model The interspeech 2025 challenge on speech emotion recognition in naturalistic conditions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:27.066600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ec5e433-fa1c-449d-ad93-b4f637906853 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:25.726535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01748e3d-fb67-41d2-b111-67b40c60117f · outbound

This paper cites Odyssey 2024 - speech emotion recognition challenge: Dataset, baseline framework, and results,.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Odyssey 2024 - speech emotion recognition challenge: Dataset, baseline framework, and results,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:07:26.966828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a07c5487-f316-4b0a-9500-72d1415fb878 · outbound

This paper cites EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech.

Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:24.074008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 81b16ec7-6582-4c28-86f0-6b083741b15a · inbound