Paper Citation Record · LEDGER

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.24059.

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

pith.paper-citation-record.v1
2505.24059 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:39:48.043254Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:39:41.644202Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:39:49.151368Z

Reference resolution

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External citation measurements

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Outbound references

Observation a03eef48-8f97-425e-931d-ecfed85ff136 · outbound

This paper cites In speech production, individ- ual variability in both articulation and its consequent acoustics is robust [4, 5].

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition In speech production, individ- ual variability in both articulation and its consequent acoustics is robust [4, 5]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:56.910034Z

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Observation 4b43e443-4b31-4fb0-aec0-873a25c92896 · outbound

This paper cites Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:39:49.286208Z

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Observation 19660cb0-be24-429e-ab9b-effb73b85fca · outbound

This paper cites Dataset We use a new single speaker rtMRI corpus with simultaneously recorded audio and video.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Dataset We use a new single speaker rtMRI corpus with simultaneously recorded audio and video

Reference 3

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Observation 303e5974-c565-4d3d-aa47-6264830f8626 · outbound

This paper cites Phoneme error rate (PER) The overall PER results on the held-out test set are presented in Table 1.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Phoneme error rate (PER) The overall PER results on the held-out test set are presented in Table 1

Reference 4

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Observation 8bdbaa1d-acef-4eb8-a05f-8f629f3b9610 · outbound

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Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Unresolved cited work

Reference 5

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Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Unresolved cited work

Reference 6

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Observation b55612bd-f444-4527-91c0-4121046af81d · outbound

This paper cites The architecture of speech production and the role of the phoneme in speech processing,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition The architecture of speech production and the role of the phoneme in speech processing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:54.456393Z

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Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Unresolved cited work

Reference 8

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Observation ad08ce4c-bade-4fbb-9f2a-e86bc7862945 · outbound

This paper cites Sensorimotor integration in speech processing: computational basis and neural organization,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Sensorimotor integration in speech processing: computational basis and neural organization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:55.388476Z

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Observation cefcdd35-e84e-47e7-83a3-67e13141c8a9 · outbound

This paper cites Perception drives production across sensory modalities: A network for sensorimotor integration of visual speech,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Perception drives production across sensory modalities: A network for sensorimotor integration of visual speech,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:55.193380Z

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Observation ba572b53-d737-4711-b1dc-fc85b808dfda · outbound

This paper cites The role of temporal modulation in sensorimotor interaction,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition The role of temporal modulation in sensorimotor interaction,

Reference 11

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Observation 85e5706b-555a-4ae0-bd48-ce09cd3fa621 · outbound

This paper cites Variability of articulator positions and formants across nine english vowels,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Variability of articulator positions and formants across nine english vowels,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:54.823327Z

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Observation 28164159-cfd1-489b-9d53-4391d0aed9db · outbound

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Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Unresolved cited work

Reference 13

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Observation 3583cc3e-bcdd-47fe-a774-a655e5c0234e · outbound

This paper cites Articulatory phonology: An overview,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Articulatory phonology: An overview,

Reference 14

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Observation 1db0d81e-9b23-4164-93c8-43726580f67d · outbound

This paper cites Multimodal representations for syn- chronized speech and real-time mri video processing,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Multimodal representations for syn- chronized speech and real-time mri video processing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:53.064691Z

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Observation 2e3d5334-098b-416f-8c84-7c5c79b3c398 · outbound

This paper cites Towards speech classification from acous- tic and vocal tract data in real-time mri,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Towards speech classification from acous- tic and vocal tract data in real-time mri,

Reference 16

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Observation e7a1966a-fbb3-4274-88fc-a3c1116e54fb · outbound

This paper cites Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

Reference 17

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Observation f2a4bde9-cf0a-4d2d-8385-60c6cee01e8c · outbound

This paper cites Robust Audiovisual Speech Recognition Models with Mixture-of-Experts.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Robust Audiovisual Speech Recognition Models with Mixture-of-Experts

Reference 18

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Observation 002a3ab1-5feb-492e-a620-76fbaab3bf76 · outbound

This paper cites Speech production real-time mri at 0.55 t,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Speech production real-time mri at 0.55 t,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:53.935947Z

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Observation 84caf0c9-50a7-4904-89ba-54b5dbe728e1 · outbound

This paper cites A multispeaker dataset of raw and reconstructed speech production real-time mri video and 3d volumetric images,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition A multispeaker dataset of raw and reconstructed speech production real-time mri video and 3d volumetric images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:53.599113Z

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Observation 943031f2-54a5-4935-baf7-120ab28b8497 · outbound

This paper cites The output of the Conformer is decoded by a single LSTM layer, with a final linear layer used for prediction.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition The output of the Conformer is decoded by a single LSTM layer, with a final linear layer used for prediction

Reference 21

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Observation 53f86a46-9a4c-4b2a-b685-81efa2cfa5ac · outbound

This paper cites Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI

Reference 22

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Observation 8f0f584e-2244-427e-894a-e5164b58361b · outbound

This paper cites Cnn-based phoneme classifier from vocal tract mri learns embed- ding consistent with articulatory topology.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Cnn-based phoneme classifier from vocal tract mri learns embed- ding consistent with articulatory topology

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:53.277765Z

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Observation c7435ec9-7a19-48f8-8a38-cca29cc75173 · outbound

This paper cites Eval- uation of a novel 8-channel rx coil for speech production mri at 0.55 t,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Eval- uation of a novel 8-channel rx coil for speech production mri at 0.55 t,

Reference 24

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Observation 3d723bf9-a38a-4dce-b296-52a9c168af75 · outbound

This paper cites Direct articulatory observa- tion reveals phoneme recognition performance characteristics of a self-supervised speech model,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Direct articulatory observa- tion reveals phoneme recognition performance characteristics of a self-supervised speech model,

Reference 25

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Observation 4a4267c1-21c3-48f6-8d48-5aa5897810fa · outbound

This paper cites Usc-timit: A database of multimodal speech production data,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Usc-timit: A database of multimodal speech production data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:52.392791Z

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Observation 4a5597dc-eb9f-4ab4-835b-3445f4b1a323 · outbound

This paper cites Database of volumetric and real-time vocal tract mri for speech science.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Database of volumetric and real-time vocal tract mri for speech science

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:52.163254Z

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Observation 93f597cf-99dd-42af-a453-18d0d01513ef · outbound

This paper cites Characterization of inter-speaker articulatory variability: A two- level multi-speaker modelling approach based on mri data,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Characterization of inter-speaker articulatory variability: A two- level multi-speaker modelling approach based on mri data,

Reference 28

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Observation 61506fae-6150-4f64-9c98-12aa2c30bd3e · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 29

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Observation 871471fd-e05a-40c1-99e4-0a104d85efe2 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 30

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Observation 6f715e8c-6636-4581-b5c9-a3e2626e3e08 · outbound

This paper cites Simple and Effective Zero-shot Cross-lingual Phoneme Recognition.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Reference 31

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This paper cites Robust and Efficient Medical Imaging with Self-Supervision.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Robust and Efficient Medical Imaging with Self-Supervision

Reference 32

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This paper cites State-of-the-art speech production mri protocol for new 0.55 tesla scanners,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition State-of-the-art speech production mri protocol for new 0.55 tesla scanners,

Reference 33

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This paper cites Announcing the electro- magnetic articulography (day 1) subset of the mngu0 articulatory corpus,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Announcing the electro- magnetic articulography (day 1) subset of the mngu0 articulatory corpus,

Reference 34

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This paper cites Real Time Speech Enhancement in the Waveform Domain.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Real Time Speech Enhancement in the Waveform Domain

Reference 35

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This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 36

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This paper cites Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:39:48.383512Z

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 38

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This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition A Simple Framework for Contrastive Learning of Visual Representations

Reference 39

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Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Visualizing data using t-sne

Reference 41

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This paper cites Toward articulatory- acoustic models for liquid approximants based on mri and epg data. part ii. the rhotics,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Toward articulatory- acoustic models for liquid approximants based on mri and epg data. part ii. the rhotics,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:49.529579Z

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Observation 1251a66c-05b6-4b09-ad8a-62368c93a71e · outbound

This paper cites Articulatory characterization of english liquid- final rimes,.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition Articulatory characterization of english liquid- final rimes,

Reference 43

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This paper cites The number of Conformer layers was set to 3.

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition The number of Conformer layers was set to 3

Reference 256

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:39:56.210483Z

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Pith citing papers

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