Paper Citation Record · LEDGER

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.16803.

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

pith.paper-citation-record.v1
2607.16803 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:55:18.061325Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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unresolved34
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External citation measurements

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Outbound references

Observation e2fb2689-45d8-42d4-aaf6-31396e32b81d · outbound

This paper cites Speech emotion recognition in mental health: Systematic review of voice-based applications,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition in mental health: Systematic review of voice-based applications,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.132185Z

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Observation 126f975b-0878-4c9c-8e6e-4cdf2761252a · outbound

This paper cites Speech emotion recognition using supervised deep recurrent system for mental health monitoring,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using supervised deep recurrent system for mental health monitoring,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.167347Z

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Observation ee45029f-86bd-4734-bbbd-3d725f5d458b · outbound

This paper cites Speech databases, speech features, and classifiers in speech emotion recognition: A review,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech databases, speech features, and classifiers in speech emotion recognition: A review,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.246690Z

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Observation 3bd0ab30-ae6b-4711-987f-bccea50bcfe6 · outbound

This paper cites Survey of deep representation learning for speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Survey of deep representation learning for speech emotion recognition,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.338720Z

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Observation d45d8506-d6e0-4b25-9f34-0ae34ead3588 · outbound

This paper cites Convolution neural network based automatic speech emotion recognition using mel-frequency cepstrum coefficients,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Convolution neural network based automatic speech emotion recognition using mel-frequency cepstrum coefficients,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.421480Z

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Observation 034c70b3-dc67-4f25-a3ad-43b8000a67dd · outbound

This paper cites Empirical evaluation of deep recurrent deep neural net- works models for speech emotion recognition for real time applications,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Empirical evaluation of deep recurrent deep neural net- works models for speech emotion recognition for real time applications,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.538334Z

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Observation a47b5d70-8002-4f77-a443-fcc1dc054b1d · outbound

This paper cites Vesper: A compact and effective pretrained model for speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Vesper: A compact and effective pretrained model for speech emotion recognition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.713373Z

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Observation ce2af0db-e678-4755-934d-b5ebccacbdf6 · outbound

This paper cites Benchmarking pretrained models for speech emotion recognition: A focus on Xception,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Benchmarking pretrained models for speech emotion recognition: A focus on Xception,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.815799Z

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Observation b1dc981c-718e-46f5-b34c-2b1ff992e427 · outbound

This paper cites Pre- trained deep convolution neural network model with attention for speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Pre- trained deep convolution neural network model with attention for speech emotion recognition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:15.964076Z

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Observation 422948e7-16ff-4bb2-9eda-c1bbe80c89d9 · outbound

This paper cites Tc-net: A modest & lightweight emotion recognition system using temporal convolution network.,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Tc-net: A modest & lightweight emotion recognition system using temporal convolution network.,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.129378Z

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Observation 1c5e5ce3-b981-40b4-b361-9bd0b7833bfc · outbound

This paper cites LiteLSTM architecture based on weights sharing for recurrent neural networks,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition LiteLSTM architecture based on weights sharing for recurrent neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.276537Z

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Observation 46a5a2d6-964a-4e20-bac8-14d57085f611 · outbound

This paper cites CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.329557Z

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Observation 3f31fa8b-53e0-4aa1-b023-cdcc98380ff8 · outbound

This paper cites Speech emotion recognition using deep 1D & 2D CNN LSTM networks,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using deep 1D & 2D CNN LSTM networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.385918Z

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Observation 3e5f3748-ce59-4ac2-bb9b-a916cb0cd2f1 · outbound

This paper cites Robust speech emotion recog- nition using cnn+ lstm based on stochastic fractal search optimization algorithm,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Robust speech emotion recog- nition using cnn+ lstm based on stochastic fractal search optimization algorithm,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.455679Z

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Observation a64f7701-1950-4fde-9e63-7e861ef8a769 · outbound

This paper cites Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.516904Z

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Unavailable: canonical work link unavailable.

Observation e0fa6ad4-3220-4c17-9906-15feb4c9526a · outbound

This paper cites Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.685671Z

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Observation a44ed362-3ea6-4cdd-82f3-8d51b7636143 · outbound

This paper cites Lightweight deep learning framework for speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Lightweight deep learning framework for speech emotion recognition,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.761965Z

Source-reported events for the cited work

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Observation 89e1dfd3-fb8d-4f85-b4b0-ba0fa66b1998 · outbound

This paper cites Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.834528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e646d0a4-68b9-4e88-bce3-b81131eeea7a · outbound

This paper cites A systematic re- view of interpretability and explainability for speech emotion features in automatic speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition A systematic re- view of interpretability and explainability for speech emotion features in automatic speech emotion recognition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:16.984015Z

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Observation 130b39d2-963d-48e0-8b00-9211cf7d7743 · outbound

This paper cites From Large-scale Audio Tagging to Real-Time Explainable Emergency Vehicle Sirens Detection.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition From Large-scale Audio Tagging to Real-Time Explainable Emergency Vehicle Sirens Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.069432Z

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Observation 2e652d45-0a4d-4863-a6f4-d97e252aed99 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.161487Z

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Observation 124f356c-fbdd-4aaf-99e5-fca7bb8e7f3b · outbound

This paper cites Socio-technical risks of clinical speech-to-text systems: Transparency, privacy, and reliability challenges in ai-driven documen- tation,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Socio-technical risks of clinical speech-to-text systems: Transparency, privacy, and reliability challenges in ai-driven documen- tation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.294713Z

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Observation 881b3a08-9c43-44d1-bee0-057fb0240f64 · outbound

This paper cites Fusion of log-mel spectrogram and acoustic features for driver speech emotion recognition,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Fusion of log-mel spectrogram and acoustic features for driver speech emotion recognition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.439760Z

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Observation 7778bbaf-292c-4ea2-8870-c41c229e78d9 · outbound

This paper cites Combining frame and turn-level information for robust recognition of emotions within speech,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Combining frame and turn-level information for robust recognition of emotions within speech,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.506914Z

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Observation 7210a7cd-c667-4558-baa5-1a56a5804b26 · outbound

This paper cites Audio-visual feature selection and reduction for emotion classification,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Audio-visual feature selection and reduction for emotion classification,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.579051Z

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Observation b264b867-d2fe-43e7-8aea-aa7501763ee7 · outbound

This paper cites Speech emotion recognition using convolutional neural networks with attention mecha- nism,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using convolutional neural networks with attention mecha- nism,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.647710Z

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Observation e4ce8fbf-c489-4a1c-9c89-c09d0e514651 · outbound

This paper cites Speech emotion recognition based on adaptive feature fusion network,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition based on adaptive feature fusion network,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.693481Z

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Observation 56dc4ed1-1955-478e-a713-c52e5753b16b · outbound

This paper cites Speech emotion recognition through hybrid features and convolutional neural network,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition through hybrid features and convolutional neural network,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.744900Z

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Observation e9b88f8c-e861-47ad-910a-2fd763d4b581 · outbound

This paper cites Speech emotion recognition and classification using hybrid deep cnn and bilstm model,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition and classification using hybrid deep cnn and bilstm model,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.782052Z

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Observation b87afb48-2d78-416d-991f-3e7ee1f18d0e · outbound

This paper cites Recognition of emotion behind speech using deep learning RESNET algorithm,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Recognition of emotion behind speech using deep learning RESNET algorithm,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.789503Z

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Observation 193d198d-8a49-4384-a46d-98128db85c5d · outbound

This paper cites A deep learning approach for speech emotion recognition optimization using meta-learning,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition A deep learning approach for speech emotion recognition optimization using meta-learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.864835Z

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Observation 84283575-78ca-4a86-a04a-08e4087bdc4e · outbound

This paper cites Speech emotion recognition using deep learning,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using deep learning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:17.961201Z

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Observation 155148c2-8af5-4133-a3e9-e8f452b4a92a · outbound

This paper cites Speech emotion recognition using machine learning: A comparative analysis,.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech emotion recognition using machine learning: A comparative analysis,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:18.001403Z

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Observation 9e87df13-b8c2-4bf1-a5e3-5575ff89b164 · outbound

This paper cites Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:18.061325Z

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Pith citing papers

No inbound Pith citation observations are available.