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Paper Citation Record · LEDGER

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.12674.

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

pith.paper-citation-record.v1
2501.12674 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:58:54.892906Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc3d66b0-e429-49b5-94e2-ff1ec8c89469 · outbound

This paper cites Speech emotion recognition using speech feature and word embedding.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Speech emotion recognition using speech feature and word embedding

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.207651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.838548Z digest=sha256:cab6ecebfa8c6b06cccc629cac15d730c103b8a596c7413576274cd6ad3066d3

Observation 94b75a0d-18dd-4c41-81b1-45eb41ed2951 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Iemocap: Interactive emotional dyadic motion capture database

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.194292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.843590Z digest=sha256:b6365feb6b67c5ecc2b92b5cdf9624b0f57dc50e5be3d56773ccb8410ac86216

Observation c51d7b0e-c523-4bb5-8d68-2d2bacaf4c38 · outbound

This paper cites Deep neural networks for emotion recognition combining audio and transcripts.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Deep neural networks for emotion recognition combining audio and transcripts

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.180886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.847920Z digest=sha256:a4684e94d52b5c6fbb3b5fa28cfdf35a25ffffa0f865973f187587d458b088de

Observation b6aaeeb3-9454-4bcd-b530-9f817666a0d9 · outbound

This paper cites Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.166326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.852222Z digest=sha256:95897f93948754659d74f5091035d4cd3bdc536d9ddeb0cab740495721f6d6af

Observation 291fc7b0-e529-4972-859f-d2ae6bbf7e9b · outbound

This paper cites Speech emotion recognition with acoustic and lexical features.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Speech emotion recognition with acoustic and lexical features

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.151376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.857021Z digest=sha256:7cc1cee0097e342e94f9298d83dca45f3f767d42eab25dd2ccc20561b15f1837

Observation 01c9c80d-17e1-4bcf-8f87-c5992779c4da · outbound

This paper cites Com- bining acoustic and language information for emotion recognition.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Com- bining acoustic and language information for emotion recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.031713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.861849Z digest=sha256:6d495f250e923b40fda62874b31fce551fdeabaa8741cbfab98500b9ebb6a9be

Observation cb100c73-3b54-4138-87de-f965635b6f65 · outbound

This paper cites Automatic speech emotion recognition using machine learning: digital transformation of mental health.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Automatic speech emotion recognition using machine learning: digital transformation of mental health

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.016573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.866760Z digest=sha256:49b3db148127d8ded635e03495926d60e1678d7601ea65548bf67dc1dd5852c3

Observation aca4fe94-e260-40fc-81cb-5246d0cdb87b · outbound

This paper cites Emotion in speech: Recognition and application to call centers.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Emotion in speech: Recognition and application to call centers

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:55.000516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.871108Z digest=sha256:8591031b853a58f31f8ac465a38aa0d2a9b2073a08673c9108be6a85e5fe7215

Observation 60e79c1a-1fc8-4126-89ad-c333ec590c23 · outbound

This paper cites A text independent speech emotion recognition based on convolutional neural network.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network A text independent speech emotion recognition based on convolutional neural network

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:54.985165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.875252Z digest=sha256:900800c22bd9b211273c740890c2926f5d727224cbbf0c56b4ea1662ea02e8e8

Observation 2a045957-88fb-468c-8298-239066a8cfa2 · outbound

This paper cites Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:54.879516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:54.879516Z digest=sha256:ad25d37432c75b1d724d97ff229b3c6be0f47ca2afd81dc1b8ee740516b5c68f

Observation 2dddc164-b200-435a-b8dc-10b6cad7946e · outbound

This paper cites Speech emotion recognition using spectrogram & phoneme embedding.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Speech emotion recognition using spectrogram & phoneme embedding

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:54.971782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.884079Z digest=sha256:2e80358484056718c5e19192c88c228532598987f3357047e9afd6f071f159ab

Observation 35a70011-fa13-4aa9-9539-32f49eea1b3c · outbound

This paper cites Multimodal speech emotion recognition using audio and text.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Multimodal speech emotion recognition using audio and text

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:54.957881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.888412Z digest=sha256:6fb266faf2c801929db43937be617fd4442df85ca7665aaab5e9099047e56b96

Observation b9d321c8-bb49-4f84-8d85-1b0eae86d614 · outbound

This paper cites Emotional chatting machine: Emotional conversation generation with internal and external memory.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Emotional chatting machine: Emotional conversation generation with internal and external memory

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:54.943863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:58:54.892906Z digest=sha256:8d65d0e5027a83a10993f3221966cdab7e9397082d4b907fe1fad77bca9e6277

Pith citing papers

No inbound Pith citation observations are available.