Paper Citation Record · LEDGER

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.19356.

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

pith.paper-citation-record.v1
2507.19356 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:58:27.925157Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

20 of 20 outbound references displayed

verified exact2
verified fuzzy11
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65a1ec94-ccd5-4f1a-9375-d501dab9dd1e · outbound

This paper cites Integrating emotion recognition with speech recognition and speaker diarisation for conversations,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Integrating emotion recognition with speech recognition and speaker diarisation for conversations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.544060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ae37139-1c2c-42de-b31d-67004035000d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.626269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0807a3-afe2-4d28-ba97-8f7d905e066b · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.637936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00965dc-6ad0-49e7-9e78-a44e24b5a903 · outbound

This paper cites Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:58:28.089107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8abb5c52-f9d6-4b3e-9112-00a3efa89468 · outbound

This paper cites IEMOCAP: In- teractive emotional dyadic motion capture database,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization IEMOCAP: In- teractive emotional dyadic motion capture database,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.424998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c6fd2b4-234e-4d8e-b18e-e88208b4279a · outbound

This paper cites WhisperX: Time accurate speech transcription of long form audio,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization WhisperX: Time accurate speech transcription of long form audio,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.653087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4bae0ed-fb30-40e4-a72a-f4fa25a3730a · outbound

This paper cites Speech emotion recognition with ASR transcripts: A comprehensive study on word error rate and fusion techniques,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Speech emotion recognition with ASR transcripts: A comprehensive study on word error rate and fusion techniques,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.658492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66813e96-3786-467d-9511-4e03379b63fa · outbound

This paper cites emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:58:28.010121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea78dee3-a181-4a97-94fb-15f08dc95cfe · outbound

This paper cites Speech sentiment analysis via pre- trained features from end-to-end ASR models,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Speech sentiment analysis via pre- trained features from end-to-end ASR models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.412577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4094e105-2344-4330-86bd-c97793158f5b · outbound

This paper cites learning discriminative features from spectrograms using center loss for speech emotion recognition.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization learning discriminative features from spectrograms using center loss for speech emotion recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.670639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45de3c0f-aed2-4757-806d-e376c58a24bf · outbound

This paper cites Multimodal multi-loss fusion network for sentiment analysis,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Multimodal multi-loss fusion network for sentiment analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.399819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31112366-bbc2-44f5-be01-9b8ad3113a6c · outbound

This paper cites Speech emotion recognition in dyadic dialogues with attentive interaction modeling,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Speech emotion recognition in dyadic dialogues with attentive interaction modeling,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.385822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dded3b1-4def-439f-8428-588568e78806 · outbound

This paper cites Temporal context in speech emotion recognition,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Temporal context in speech emotion recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.332793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ab3af26-85b1-4931-92d5-6e9de366e262 · outbound

This paper cites Transcribe-to-diarize: Neural speaker diarization for unlimited number of speakers using end-to-end speaker-attributed ASR,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Transcribe-to-diarize: Neural speaker diarization for unlimited number of speakers using end-to-end speaker-attributed ASR,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.299558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d1ed5e0-e93d-41d3-86b1-1d85510c30f6 · outbound

This paper cites Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.863490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083e3fea-e673-4231-a515-c77139045883 · outbound

This paper cites Speech emotion diarization: Which emotion appears when?,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Speech emotion diarization: Which emotion appears when?,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.287116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3862308-facf-4b79-8a18-660760e1d4c9 · outbound

This paper cites Meeting recognition with continuous speech separation and transcription-supported diarization,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Meeting recognition with continuous speech separation and transcription-supported diarization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.273428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58eb620d-d29f-4bf9-8404-c0571fff8df3 · outbound

This paper cites pyannote.audio: neural building blocks for speaker diarization,.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization pyannote.audio: neural building blocks for speaker diarization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.259375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c950f8c1-2d87-46f9-8716-5ef2086e7a65 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T17:58:27.920852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8c584f-eb5a-4005-b8a8-38828189d440 · outbound

This paper cites 2019, Accepted at EMNLP-IJCNLP 2019].

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization 2019, Accepted at EMNLP-IJCNLP 2019]

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:58:28.199442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.