Paper Citation Record · LEDGER

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

As of 4 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:1907.04743.

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

pith.paper-citation-record.v1
1907.04743 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T23:23:05.120737Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T23:23:05.120737Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T23:25:03.881138Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy40
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a02295b9-147e-4dd3-8430-a02321cbfb9c · outbound

This paper cites an unresolved cited work.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-24T23:25:04.867801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53e9d4fc-adc9-4a6b-abb7-8cc29e34707e · outbound

This paper cites Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:25:03.883484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19e989ee-a04d-4997-b23e-ff1fa69f8762 · outbound

This paper cites The audio and text en- coders produce a low-dimensional dysarthric latent space and a sequential encoding of the input text.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech The audio and text en- coders produce a low-dimensional dysarthric latent space and a sequential encoding of the input text

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.849881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 522f042e-934f-421e-9261-596c02e03b8b · outbound

This paper cites Dysarthric speech database There is no well-established benchmark in the literature to com- pare different models for detecting dysarthria.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Dysarthric speech database There is no well-established benchmark in the literature to com- pare different models for detecting dysarthria

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.846427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd6a8956-46d5-410a-9bb3-73b501540a87 · outbound

This paper cites The encoder-decoder model factorizes speech into a low-dimensional latent space and en- coding of the input text.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech The encoder-decoder model factorizes speech into a low-dimensional latent space and en- coding of the input text

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.843078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9246be4-dbb2-453c-a39a-b71e553da3f7 · outbound

This paper cites Nadolski, J.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Nadolski, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.839772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f25d5fd-b724-42f9-ba11-cd886cce94b4 · outbound

This paper cites The American Speech-Language-Hearing Association (ASHA) - Dysarthria.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech The American Speech-Language-Hearing Association (ASHA) - Dysarthria

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.836672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0192a386-0479-4e7d-9b6e-80edd645be6c · outbound

This paper cites Neuropsychologi- cal improvement after posterior fossa arachnoid cyst drainage.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Neuropsychologi- cal improvement after posterior fossa arachnoid cyst drainage

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.833555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a3b5ea7-285f-4716-8b60-e0c92c08fa2b · outbound

This paper cites Communication Difﬁculties as a Result of Dementia.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Communication Difﬁculties as a Result of Dementia

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.827167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43d3724c-6676-46f6-9a8c-1094395a5d8e · outbound

This paper cites One in three people born in 2015 will de- velop dementia, new analysis shows.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech One in three people born in 2015 will de- velop dementia, new analysis shows

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.824132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94f68c9b-7c18-49cf-8637-cf770267e00e · outbound

This paper cites Speech synthesis technologies for individuals with vocal disabilities: V oice banking and reconstruction.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Speech synthesis technologies for individuals with vocal disabilities: V oice banking and reconstruction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.991723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64982fb1-1693-49ea-83bc-240523bfa329 · outbound

This paper cites Combining neural network and rule-based systems for dysarthria diagnosis.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Combining neural network and rule-based systems for dysarthria diagnosis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.889448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 26cdf477-6230-4bbf-985d-31078b589a2c · outbound

This paper cites Excitation Source Analysis of Dysarthric Speech for Early Stage Detection of Dysarthria.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Excitation Source Analysis of Dysarthric Speech for Early Stage Detection of Dysarthria

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.881999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eaee3e00-1f93-483a-9ecb-26fb0c84ed4a · outbound

This paper cites A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson’s Disease.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson’s Disease

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.885365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cfd699b3-1c25-45dc-97ba-662ad28b6f5a · outbound

This paper cites Characterization of atyp- ical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Characterization of atyp- ical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.893094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21969a6a-c4f7-449c-b515-27512dfe5844 · outbound

This paper cites Automated Dysarthria Severity Clas- siﬁcation for Improved Objective Intelligibility Assessment of Spastic Dysarthric Speech.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Automated Dysarthria Severity Clas- siﬁcation for Improved Objective Intelligibility Assessment of Spastic Dysarthric Speech

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.896757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d23fc8e1-64c7-43ec-aad3-2bd9bb2c3a4d · outbound

This paper cites Cross-database models for the classiﬁcation of dysarthria presence.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Cross-database models for the classiﬁcation of dysarthria presence

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.871543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 055458a0-9c47-4a28-af5b-9b38ffa2aa64 · outbound

This paper cites V owel Acoustics in Dysarthria: Speech Disorder Diagnosis and Classiﬁcation.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech V owel Acoustics in Dysarthria: Speech Disorder Diagnosis and Classiﬁcation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.878487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36d84a59-b64d-4c7f-b062-afb6f6909bf0 · outbound

This paper cites Interpretable Objective Assess- ment of Dysarthric Speech Based on Deep Neural Networks.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Interpretable Objective Assess- ment of Dysarthric Speech Based on Deep Neural Networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.875018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 388597a0-dee7-4993-872e-4e9797158332 · outbound

This paper cites www.modeltalker.com.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech www.modeltalker.com

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.900227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccf7fded-b8d4-42fa-833a-985be144bcb4 · outbound

This paper cites Effect of data reduction on sequence-to-sequence neural {TTS}.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Effect of data reduction on sequence-to-sequence neural {TTS}

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.820459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation beec1fcc-cdab-4297-b7b7-f2833c0aa0bf · outbound

This paper cites Re- constructing the voice of an individual following laryngectomy.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Re- constructing the voice of an individual following laryngectomy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.830442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8fa9bce-69d4-44ac-9e2b-ab6113dce304 · outbound

This paper cites Rabiner and R.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Rabiner and R

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.977598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2df8871c-927d-41b3-b6e7-9c3a4bc1140a · outbound

This paper cites Glot- tal source processing: from analysis to applications.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Glot- tal source processing: from analysis to applications

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.854709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b864f33b-5e24-4976-819a-230882254196 · outbound

This paper cites Tutorial on Variational Autoencoders.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Tutorial on Variational Autoencoders

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.904037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b1c1935-d5f1-4137-a0aa-f862e079e22d · outbound

This paper cites Con- trollable Text Generation.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Con- trollable Text Generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.816762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 74b5152a-3bf5-47c2-bacb-04174d9b072c · outbound

This paper cites Generating Sentences from a Continuous Space.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Generating Sentences from a Continuous Space

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.980989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dfcaf142-6f05-471f-a438-cdb6d12b7891 · outbound

This paper cites Learning latent rep- resentations for style control and transfer in end-to-end speech synthesis.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Learning latent rep- resentations for style control and transfer in end-to-end speech synthesis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.987960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c7f0f637-139e-4d57-8ab4-38b6630c3d11 · outbound

This paper cites Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.974214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 634d0d87-6e35-4735-aca2-d9bc302cfe4e · outbound

This paper cites Understanding the difﬁculty of train- ing deep feedforward neural networks.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Understanding the difﬁculty of train- ing deep feedforward neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.966812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e1798d90-8c79-4f90-ab84-38253b83f61c · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:25:03.878890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3dc2a94f-3855-4add-be5a-d23ba345dbfd · outbound

This paper cites Towards End- to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Towards End- to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.970372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3dca68c9-1e99-4355-b253-63239b90ce5d · outbound

This paper cites Learning Phrase Representations using {RNN} Encoder-Decoder for Statistical Machine Transla- tion.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Learning Phrase Representations using {RNN} Encoder-Decoder for Statistical Machine Transla- tion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.984616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62f54a9c-9e7b-4fbb-adc1-2959795379a0 · outbound

This paper cites Dropout: A Simple Way to Prevent Neural Networks from Overﬁtting.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Dropout: A Simple Way to Prevent Neural Networks from Overﬁtting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.995135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02114915-0521-4d56-a44e-812f75cf93da · outbound

This paper cites Tacotron: {A} Fully End-to-End Text-To-Speech Synthesis Model.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Tacotron: {A} Fully End-to-End Text-To-Speech Synthesis Model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.998449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf3da9e6-ee07-41c9-92eb-3182acab6b4e · outbound

This paper cites Attention Is All You Need.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Attention Is All You Need

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:05.001536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d2e10c61-0936-40ce-9296-50a4693d0e47 · outbound

This paper cites Dysarthric Speech Database for Universal Access Research.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Dysarthric Speech Database for Universal Access Research

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.957449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d386b910-1cf3-4d56-8f5f-8a398cf17d1b · outbound

This paper cites The TORGO database of acoustic and articulatory speech from speakers with dysarthria.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech The TORGO database of acoustic and articulatory speech from speakers with dysarthria

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.950625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a2c4eb2-3f73-49b7-85cf-a703b3b4d7cb · outbound

This paper cites A framework for collecting realistic recordings of dysarthric speech - The homeService corpus.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech A framework for collecting realistic recordings of dysarthric speech - The homeService corpus

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.954164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f664d51-eb06-4637-bb30-afc634531c68 · outbound

This paper cites an unresolved cited work.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-24T23:25:04.960079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5fc6f6d-9f30-426e-bdb7-2854f51d2f9f · outbound

This paper cites Dysarthric Speech Classiﬁcation Us- ing Glottal Features Computed from Non-words, Words and Sen- tences.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Dysarthric Speech Classiﬁcation Us- ing Glottal Features Computed from Non-words, Words and Sen- tences

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.963338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b82c489-7434-4c86-9ddb-f409d18115f1 · outbound

This paper cites Signal Estimation from Modiﬁed Short-Time Fourier Transform.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Signal Estimation from Modiﬁed Short-Time Fourier Transform

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.943280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7fe3b56d-48e8-4b43-95f9-9be82d2f93d2 · outbound

This paper cites Comprehensive evaluation of statistical speech waveform synthesis.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Comprehensive evaluation of statistical speech waveform synthesis

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.937728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d930f3e-f245-4643-82be-352386e839b2 · outbound

This paper cites Disentan- gling Disentanglement in Variational Auto-Encoders.

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Disentan- gling Disentanglement in Variational Auto-Encoders

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:25:04.946886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 53e9d4fc-adc9-4a6b-abb7-8cc29e34707e · inbound