Paper Citation Record · LEDGER

On the Contribution of Lexical Features to Speech Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.05634.

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

pith.paper-citation-record.v1
2509.05634 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:21:20.857915Z

measured 23 of 23 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

23 of 23 outbound references displayed

verified exact4
verified fuzzy16
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e9f2fb4-1124-4f3f-a790-6c2aa39b9fc3 · outbound

This paper cites Cross-modal fusion techniques for utterance-level emotion recognition from text and speech,.

On the Contribution of Lexical Features to Speech Emotion Recognition Cross-modal fusion techniques for utterance-level emotion recognition from text and speech,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.406887Z

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 5312aca1-1f25-4a6a-9ff4-51d8b485b1d9 · outbound

This paper cites Artificial intelligence-driven customer service: Enhancing personalization, loyalty, and customer satisfaction,.

On the Contribution of Lexical Features to Speech Emotion Recognition Artificial intelligence-driven customer service: Enhancing personalization, loyalty, and customer satisfaction,

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T05:21:20.919232Z

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 10a7d42a-ac3d-49df-bdd1-8b86a7863ac8 · outbound

This paper cites Speech emotion recognition via graph-based representations,.

On the Contribution of Lexical Features to Speech Emotion Recognition Speech emotion recognition via graph-based representations,

Reference 3

Resolution: verified exact; doi, observed 2026-08-05T05:21:20.905997Z

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 55ae0269-cbdc-418a-bcf5-0133c044c2d3 · outbound

This paper cites A review on speech emotion recog- nition: A survey, recent advances, challenges, and the influence of noise,.

On the Contribution of Lexical Features to Speech Emotion Recognition A review on speech emotion recog- nition: A survey, recent advances, challenges, and the influence of noise,

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-05T05:21:21.157531Z

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 d3b73810-449a-415d-9dce-dbf4252b556c · outbound

This paper cites Survey on bimodal speech emotion recognition from acoustic and linguistic informa- tion fusion,.

On the Contribution of Lexical Features to Speech Emotion Recognition Survey on bimodal speech emotion recognition from acoustic and linguistic informa- tion fusion,

Reference 5

Resolution: verified exact; doi, observed 2026-08-05T05:21:20.892336Z

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 c5152077-6bbf-4b29-b0ca-a7582067c639 · outbound

This paper cites DST: Deformable Speech Transformer for emotion recognition,.

On the Contribution of Lexical Features to Speech Emotion Recognition DST: Deformable Speech Transformer for emotion recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.391930Z

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 cda0d4a2-ee52-460e-b8a4-81d561b3ea54 · outbound

This paper cites Temporal-frequency state space duality: An efficient paradigm for speech emotion recognition,.

On the Contribution of Lexical Features to Speech Emotion Recognition Temporal-frequency state space duality: An efficient paradigm for speech emotion recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.377255Z

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 3dd1308e-bf3c-4eea-b73c-0545e584c961 · outbound

This paper cites DWFormer: Dy- namic Window transFormer for speech emotion recognition,.

On the Contribution of Lexical Features to Speech Emotion Recognition DWFormer: Dy- namic Window transFormer for speech emotion recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.363600Z

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 8dbeb2c7-f09b-4185-b33a-e937b52df68a · outbound

This paper cites SpeechFormer: A hierarchical efficient framework incorporating the characteristics of speech,.

On the Contribution of Lexical Features to Speech Emotion Recognition SpeechFormer: A hierarchical efficient framework incorporating the characteristics of speech,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.349103Z

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 a6e2dc6d-a7b5-4786-a648-d2ab9502eedc · outbound

This paper cites SpeechFormer++: A hierarchical efficient framework for paralinguistic speech processing,.

On the Contribution of Lexical Features to Speech Emotion Recognition SpeechFormer++: A hierarchical efficient framework for paralinguistic speech processing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.334578Z

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 396b83cc-f1fa-4f47-9795-4e11910a6cdf · outbound

This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations,.

On the Contribution of Lexical Features to Speech Emotion Recognition MELD: A multimodal multi-party dataset for emotion recognition in conversations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.319840Z

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 c16c8819-af65-44a1-b2d4-7813a22e1fcf · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

On the Contribution of Lexical Features to Speech Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.304242Z

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 3e685189-5188-4e6d-b25d-2e0eaeddabad · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

On the Contribution of Lexical Features to Speech Emotion Recognition Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:21:20.819131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c83cf53-d04a-4454-955a-f5f369df30e8 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

On the Contribution of Lexical Features to Speech Emotion Recognition BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.289406Z

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 3b694448-ff63-455e-a8a3-c2e8ef6a828e · outbound

This paper cites Unsupervised cross-lingual representation learning at scale,.

On the Contribution of Lexical Features to Speech Emotion Recognition Unsupervised cross-lingual representation learning at scale,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.275369Z

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 c2f3d554-4f71-45ac-af73-7919569723d1 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with disentangled attention,.

On the Contribution of Lexical Features to Speech Emotion Recognition DeBERTa: Decoding-enhanced BERT with disentangled attention,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.261487Z

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 f27e0545-d736-4be4-9ca0-ffc5b9619758 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

On the Contribution of Lexical Features to Speech Emotion Recognition Robust Speech Recognition via Large-Scale Weak Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:21:20.834622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684f59f6-9c84-4b8b-8abd-8b44992ec725 · outbound

This paper cites Real time speech enhancement in the waveform domain,.

On the Contribution of Lexical Features to Speech Emotion Recognition Real time speech enhancement in the waveform domain,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.247137Z

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 36d8dd70-8488-4057-a50f-b5a69d5d787f · outbound

This paper cites Unmasking real-world audio deepfakes: A data-centric approach,.

On the Contribution of Lexical Features to Speech Emotion Recognition Unmasking real-world audio deepfakes: A data-centric approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.232044Z

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 6ae965c8-58a2-4cf3-bd36-9f0429836a97 · outbound

This paper cites A change of heart: Improving speech emotion recognition through speech-to-text modality conversion.

On the Contribution of Lexical Features to Speech Emotion Recognition A change of heart: Improving speech emotion recognition through speech-to-text modality conversion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.216507Z

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 a9c085dd-ca06-4927-af7f-cdbd826c6f63 · outbound

This paper cites TADA: Training-free attribution and out-of-domain detection of audio deepfakes,.

On the Contribution of Lexical Features to Speech Emotion Recognition TADA: Training-free attribution and out-of-domain detection of audio deepfakes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.201345Z

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 41ace998-d871-445d-8c35-d315301a7fb6 · outbound

This paper cites an unresolved cited work.

On the Contribution of Lexical Features to Speech Emotion Recognition Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:21:21.186045Z

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 d5e418ad-2fee-4996-a9ae-7247b6215a90 · outbound

This paper cites An analysis of large speech models-based representations for speech emotion recogni- tion,.

On the Contribution of Lexical Features to Speech Emotion Recognition An analysis of large speech models-based representations for speech emotion recogni- tion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:21:21.172190Z

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.