Paper Citation Record · LEDGER

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.03054.

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

pith.paper-citation-record.v1
1908.03054 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:46:43.004412Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

42 of 42 outbound references displayed

verified exact1
verified fuzzy35
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e54242a-fe09-429e-afc6-e472d06679f5 · outbound

This paper cites Gender Identification using MFCC for Telephone Applications - A Comparative Study.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Gender Identification using MFCC for Telephone Applications - A Comparative Study

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:46:43.106781Z

Source-reported events for the cited work

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Observation e51f419e-a99a-43dc-8292-abca689b8b3d · outbound

This paper cites Toward affective speech-to-speech translation: Strategy for emotional speech recognition and synthesis in multiple languages.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Toward affective speech-to-speech translation: Strategy for emotional speech recognition and synthesis in multiple languages

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.770632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f1b6e5c-bdf1-46a8-b0a5-5f3ec93d53ec · outbound

This paper cites Single frequency ﬁltering approach for discriminating speech and nonspeech.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Single frequency ﬁltering approach for discriminating speech and nonspeech

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.754155Z

Source-reported events for the cited work

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Observation 6ccab0e2-53d0-49a9-a68c-5583f7441fcf · outbound

This paper cites Extraction of fundamental frequency from degraded speech using temporal envelopes at high snr fre- quencies.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Extraction of fundamental frequency from degraded speech using temporal envelopes at high snr fre- quencies

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.738893Z

Source-reported events for the cited work

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Observation 4e40d733-74b6-4fe4-a7e7-9da81e32f1af · outbound

This paper cites Speech emotion recognition from spectrograms with deep convolutional neural network.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Speech emotion recognition from spectrograms with deep convolutional neural network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.724523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fdcb643a-e634-4585-bce7-6b857fc73122 · outbound

This paper cites Deep features-based speech emotion recognition for smart affective services.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Deep features-based speech emotion recognition for smart affective services

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.708037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 24181f02-2253-4018-92af-bc7a7bebd1de · outbound

This paper cites Spectro-temporal analysis of speech signals using zero-time windowing and group delay function.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Spectro-temporal analysis of speech signals using zero-time windowing and group delay function

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.691110Z

Source-reported events for the cited work

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Observation 77791e2e-ecb0-4303-b89c-386a04e0fe79 · outbound

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

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Iemocap: Interactive emotional dyadic motion capture database

Reference 8

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Source-reported events for the cited work

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Observation f7ed8a03-27b4-480c-a705-94fc835ef501 · outbound

This paper cites Multi-column Deep Neural Networks for Image Classification.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Multi-column Deep Neural Networks for Image Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:46:42.806058Z

Source-reported events for the cited work

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Observation 40b5dfb0-7128-4f1c-bb6d-3047ea075598 · outbound

This paper cites A tutorial on the cross-entropy method.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition A tutorial on the cross-entropy method

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:46:42.810960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d07e4f-5636-4ffe-8ae4-8d25116f4a00 · outbound

This paper cites Survey on speech emotion recognition: Features, classiﬁcation schemes, and databases.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Survey on speech emotion recognition: Features, classiﬁcation schemes, and databases

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.657664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d77cdf4-c002-4933-9654-fb12ffd8d072 · outbound

This paper cites Eval- uating deep learning architectures for speech emotion recognition.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Eval- uating deep learning architectures for speech emotion recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.643468Z

Source-reported events for the cited work

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Observation d54671cf-ac09-44c0-b565-dd31ba6de7f8 · outbound

This paper cites Acoustical properties of speech as indicators of depression and suicidal risk.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Acoustical properties of speech as indicators of depression and suicidal risk

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.630493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88fbb2d5-c65e-4c40-9d09-b8b95c2cea12 · outbound

This paper cites On the importance of glottal ﬂow spectral energy for the recognition of emotions in speech.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition On the importance of glottal ﬂow spectral energy for the recognition of emotions in speech

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.615400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e0e8455-8c11-45ef-8676-dc37560145a5 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:46:42.837964Z

Source-reported events for the cited work

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Observation f6fb16d5-feb7-41a2-b59d-b3e99e5bccd8 · outbound

This paper cites Application of the wavelet transform for pitch detection of speech signals.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Application of the wavelet transform for pitch detection of speech signals

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.602811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb28125c-96ec-4bb5-a4ba-835319d96eb2 · outbound

This paper cites Epoch extraction from emotional speech using single frequency ﬁltering approach.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Epoch extraction from emotional speech using single frequency ﬁltering approach

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.588460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d81342e-996b-4184-95b4-1199b7dbc328 · outbound

This paper cites Speaker identiﬁcation using spectrograms of varying frame sizes.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Speaker identiﬁcation using spectrograms of varying frame sizes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.575424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4ccda1b-5129-48bf-893a-e828862da75d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Adam: A Method for Stochastic Optimization

Reference 19

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Source-reported events for the cited work

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Observation c382978d-de4d-4b0d-bc0f-e6b542892a24 · outbound

This paper cites The perceptual importance of selected voice quality parameters.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition The perceptual importance of selected voice quality parameters

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.563358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32f27912-f52b-4adf-b2ec-145f96968f0e · outbound

This paper cites Improvement of the backpropagation algorithm for training neural networks.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Improvement of the backpropagation algorithm for training neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.550779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46ab7839-bac6-40e3-9487-52df41db1b40 · outbound

This paper cites Automatic speaker age and gender recognition using acoustic and prosodic level infor- mation fusion.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Automatic speaker age and gender recognition using acoustic and prosodic level infor- mation fusion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.536943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab600307-96ef-424d-8325-0a972849721f · outbound

This paper cites Learning salient features for speech emotion recognition using con- volutional neural networks.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Learning salient features for speech emotion recognition using con- volutional neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.525017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6aeae182-0701-4e16-834f-c6e3ddb0090d · outbound

This paper cites Age and gender classiﬁcation using fusion of acoustic and prosodic features.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Age and gender classiﬁcation using fusion of acoustic and prosodic features

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.511016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1296f7c-9b65-40cd-ba63-bbf8b7c5c098 · outbound

This paper cites Automatic speech emotion recognition using recurrent neural networks with local attention.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Automatic speech emotion recognition using recurrent neural networks with local attention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.496864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c186624-13bd-4ef0-81a8-c6cea99a6dc9 · outbound

This paper cites Epoch extraction from speech signals.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Epoch extraction from speech signals

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.483476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 718708e7-12ef-401e-8e04-eede2a5dd0b8 · outbound

This paper cites Rectiﬁed linear units improve restricted boltzmann machines.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Rectiﬁed linear units improve restricted boltzmann machines

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.469674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36c8c545-ee43-4c69-996e-404082cfa14b · outbound

This paper cites Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech

Reference 28

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Source-reported events for the cited work

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Observation ad9af006-b220-471b-ae40-f7dc0ba30566 · outbound

This paper cites Robust estimation of fundamental frequency using single frequency ﬁltering approach.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Robust estimation of fundamental frequency using single frequency ﬁltering approach

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.457684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 14fbb3e5-74f9-48a5-8c12-cb4948e9a664 · outbound

This paper cites On the convergence of adam and beyond.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition On the convergence of adam and beyond

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.444112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db46bfbc-7b76-4552-8fee-41b86a0dfb70 · outbound

This paper cites A direct adaptive method for faster backpropagation learning: The rprop algorithm.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition A direct adaptive method for faster backpropagation learning: The rprop algorithm

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.428106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 455e4835-b294-4e0f-98e4-a5e254e0289a · outbound

This paper cites Efﬁcient emotion recognition from speech using deep learning on spectrograms.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Efﬁcient emotion recognition from speech using deep learning on spectrograms

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.413759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05c2c528-483d-490c-9212-c63c460e4bde · outbound

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

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.398810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c598574-c1c1-4746-b7b2-6bbf2dae51c0 · outbound

This paper cites Modeling prosodic feature sequences for speaker recognition.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Modeling prosodic feature sequences for speaker recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.383399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9af78da-8b3e-4f43-a901-f4a5e61fc0c9 · outbound

This paper cites Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.369379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef6f1ab2-7721-4458-9503-1b9bc2d82961 · outbound

This paper cites Spectral-temporal receptive ﬁelds and mfcc balanced feature extraction for robust speaker recognition.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Spectral-temporal receptive ﬁelds and mfcc balanced feature extraction for robust speaker recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.208468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ead31618-8793-4478-91a2-eb836fbbd412 · outbound

This paper cites Text-independent speech emotion recognition using frequency adaptive features.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Text-independent speech emotion recognition using frequency adaptive features

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.195271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1e11af5-382b-47eb-9a48-2cedfa5ccb8f · outbound

This paper cites Epoch detection from emotional speech signal using zero time windowing.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Epoch detection from emotional speech signal using zero time windowing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.178537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4142f4ea-2d0c-4e08-930f-ecc7c35b5162 · outbound

This paper cites Method for identifying autho- rized users using a spectrogram and apparatus of the same, August 22.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Method for identifying autho- rized users using a spectrogram and apparatus of the same, August 22

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.164474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 839e65df-0d06-4e6a-b029-5046e49e9ca9 · outbound

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

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Speech emotion recognition using spectrogram & phoneme embedding

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.135844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f592b6f6-d5eb-4a01-9a45-7fc6578bd98b · outbound

This paper cites Spectrogram based multi-task audio classiﬁcation.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition Spectrogram based multi-task audio classiﬁcation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.121687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3db65816-92b6-445c-b5f8-5f241fef46ca · outbound

This paper cites 09/884,287.

Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition 09/884,287

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:46:43.150516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.