Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:25.016190Z
Paper Citation Record · LEDGER
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks
As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2501.09159.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
48 of 48 outbound references displayed
- verified exact1
- verified fuzzy46
- unresolved1
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ea5f76b2-3ec6-4ae5-a43e-69d02dcebbdf · outbound
This paper cites Microphone and electroglottographic data from dyspho- nic patients: Type 1, 2 and 3 signals,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Microphone and electroglottographic data from dyspho- nic patients: Type 1, 2 and 3 signals,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b2fdf37-f055-438a-aa83-3283af4b6fc3 · outbound
This paper cites Diplophonia reappraised,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Diplophonia reappraised,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.982680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2b710bb3-d57c-42f4-ad57-ac31ccb03d2a · outbound
This paper cites [Spectrographic study of voice disorders: subharmonics],.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks [Spectrographic study of voice disorders: subharmonics],
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.965713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f3bf9537-e349-4f26-a082-4bdaa4fce170 · outbound
This paper cites A study of subharmonics in connected speech material,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks A study of subharmonics in connected speech material,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.946804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 050476cd-4afe-4406-9d27-0f86ec5a9807 · outbound
This paper cites Investigation of vocal bifurcations and voice patterns induced by asymmetry of pathological vocal folds,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Investigation of vocal bifurcations and voice patterns induced by asymmetry of pathological vocal folds,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.926809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 43c7f6d0-9d6f-4795-b6a6-e6b789d7678a · outbound
This paper cites On the nature of vocal fry,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks On the nature of vocal fry,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.907801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2448cafc-9635-4349-a3ba-4b4293f6ba78 · outbound
This paper cites Freddie Mercury—acoustic analysis of speaking fundamental frequency, vibrato, and subhar- monics,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Freddie Mercury—acoustic analysis of speaking fundamental frequency, vibrato, and subhar- monics,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.887817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e2d44195-81ac-41be-82c9-a274108a135c · outbound
This paper cites Acoustic characteristics of rough voice: Subharmonics,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Acoustic characteristics of rough voice: Subharmonics,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.869283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7b0362a8-dbe8-4676-9ed7-c16d52811658 · outbound
This paper cites Perception of pitch and roughness in vocal signals with subharmonics,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Perception of pitch and roughness in vocal signals with subharmonics,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.842565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0b795495-3388-48c7-b0fe-6f99a98bc053 · outbound
This paper cites Perceived pitch of synthesized voice with alternate cycles,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Perceived pitch of synthesized voice with alternate cycles,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.820941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 675c6f80-f3bd-43bf-99b3-34acc964745b · outbound
This paper cites Perception and imitation of period-doubled phonation: Pitch and voice quality,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Perception and imitation of period-doubled phonation: Pitch and voice quality,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.798604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ae744c06-ef03-4444-a951-02e8c71dd62f · outbound
This paper cites Evaluation of machine-learning pitch estimation algorithms,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Evaluation of machine-learning pitch estimation algorithms,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.778370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 98b4ca36-38e6-48d6-8d9e-ff3d8cd8ff48 · outbound
This paper cites Comparison of fundamental frequency estimators with subharmonic voice signals.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Comparison of fundamental frequency estimators with subharmonic voice signals
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:14:25.077199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b558ea7f-a995-42b1-9d91-51e94db103ae · outbound
This paper cites an unresolved cited work.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:14:25.760134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 47b5ca8e-df8c-4041-8b73-3a3c02b06d60 · outbound
This paper cites Multi-Dimensional V oice Program (MDVP) model 5105 software instruction manual,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Multi-Dimensional V oice Program (MDVP) model 5105 software instruction manual,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.739574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bad19548-8d0e-4315-aadf-414c01e9bdab · outbound
This paper cites Acoustic model and evaluation of patho- logical voice production,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Acoustic model and evaluation of patho- logical voice production,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.721255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e1f02569-eb82-4437-b227-21e435933a21 · outbound
This paper cites A pitch determination algorithm based on subharmonic-to-harmonic ratio,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks A pitch determination algorithm based on subharmonic-to-harmonic ratio,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.702125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fe8b4a04-6f0b-480d-915b-93171666df5d · outbound
This paper cites Acoustic tracking of pitch, modal, and subhar- monic vibrations of vocal folds in Parkinson’s Disease and Parkinsonism,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Acoustic tracking of pitch, modal, and subhar- monic vibrations of vocal folds in Parkinson’s Disease and Parkinsonism,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.680842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 526dcd74-aa17-479f-bed9-8c8fe42a8d41 · outbound
This paper cites Fundamental frequency tracking in diplophonic voices,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Fundamental frequency tracking in diplophonic voices,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.659544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 08190007-6889-410c-818e-847537cc177c · outbound
This paper cites Tracking of mul- tiple fundamental frequencies in diplophonic voices,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Tracking of mul- tiple fundamental frequencies in diplophonic voices,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.641856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 21b4f179-af5f-4289-b14a-10c40f28b6f5 · outbound
This paper cites A two-stage cepstral analysis procedure for the classification of rough voices,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks A two-stage cepstral analysis procedure for the classification of rough voices,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.622214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e99fa441-617e-44d0-97ca-8783a0fc870f · outbound
This paper cites Validation of subharmonics quantification using two-stage cepstral analysis,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Validation of subharmonics quantification using two-stage cepstral analysis,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.604342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9194d237-3a6c-4fff-b041-2d904c4cd4f0 · outbound
This paper cites Fully-convolutional net- work for pitch estimation of speech signals,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Fully-convolutional net- work for pitch estimation of speech signals,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.587033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8e65706d-496f-4ca2-97d1-39398801ca1f · outbound
This paper cites Crepe: A convolutional representation for pitch estimation,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Crepe: A convolutional representation for pitch estimation,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.569385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1ffd7146-a769-4307-87d2-de7a6c3a80ea · outbound
This paper cites Fully convo- lutional networks for semantic segmentation,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Fully convo- lutional networks for semantic segmentation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.551801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 62903429-9abf-4252-927c-9a5e6908d8f9 · outbound
This paper cites Time series classifica- tion from scratch with deep neural networks: A strong baseline,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Time series classifica- tion from scratch with deep neural networks: A strong baseline,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.532662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 76add649-f347-4b83-a7e1-3acc251d2f76 · outbound
This paper cites Deep learning for time series classi- fication: A review,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Deep learning for time series classi- fication: A review,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.514158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ed106425-6678-4205-8f4e-3ae793140dbc · outbound
This paper cites An analysis of the diplo- phonia phenomenon,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks An analysis of the diplo- phonia phenomenon,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.497355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b4405aac-8b9b-472f-800f-f2a22f9e2b1c · outbound
This paper cites Performance evaluation of subharmonic- to-harmonic ratio (SHR) computation,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Performance evaluation of subharmonic- to-harmonic ratio (SHR) computation,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.477343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 13373793-7818-4a31-b294-373568b875da · outbound
This paper cites Parameterization of the glottal area, glottal flow, and vocal fold contact area,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Parameterization of the glottal area, glottal flow, and vocal fold contact area,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.459430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 383cc9e2-abab-4e86-a254-158a3eede401 · outbound
This paper cites A four-parameter model of the glottis and vocal fold contact area,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks A four-parameter model of the glottis and vocal fold contact area,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.441329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03f7ffd1-e2ec-4cc0-aba0-0afac16e5115 · outbound
This paper cites Physiologically-Based Speech Simulation Us- ing an Enhanced Wave-Reflection Model of the V ocal Tract,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Physiologically-Based Speech Simulation Us- ing an Enhanced Wave-Reflection Model of the V ocal Tract,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.423744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e5626915-0cfd-4887-bf56-49951c8f52f0 · outbound
This paper cites Speech Synthesis with Reflection-Type Line Analog,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Speech Synthesis with Reflection-Type Line Analog,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.405181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b0907301-ffee-4ee5-8bec-9e2759eb0cda · outbound
This paper cites Relation of structural and vibratory kinematics of the vocal folds to two acoustic measures of breathy voice based on computational mod- eling,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Relation of structural and vibratory kinematics of the vocal folds to two acoustic measures of breathy voice based on computational mod- eling,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.382282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c98b5c9-4d76-448e-856b-c1ff03e387fd · outbound
This paper cites Relation of perceived breathiness to laryngeal kinematics and acoustic measures based on computational modeling,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Relation of perceived breathiness to laryngeal kinematics and acoustic measures based on computational modeling,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.362035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b7efb19e-003e-4bb5-a1db-67cbea408fae · outbound
This paper cites Acoustic and perceptual effects of left–right laryn- geal asymmetries based on computational modeling,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Acoustic and perceptual effects of left–right laryn- geal asymmetries based on computational modeling,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.333568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e8de4e69-df96-4ff5-8b33-7c1575ad378d · outbound
This paper cites Synthesis of voiced sounds from a two-mass model of the vocal cords,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Synthesis of voiced sounds from a two-mass model of the vocal cords,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.312682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1782ce46-bcbf-425b-912c-7ecde33fbca2 · outbound
This paper cites The physics of small-amplitude oscillation of the vocal folds,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks The physics of small-amplitude oscillation of the vocal folds,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.293436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0d953d05-35aa-4862-ba9f-54d4f18a708b · outbound
This paper cites High-speed digital image analysis of vocal cord vibration in diplo- phonia,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks High-speed digital image analysis of vocal cord vibration in diplo- phonia,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.270336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9c100842-bf8d-41dc-a091-048eb124e87d · outbound
This paper cites The mechanisms of subharmonic tone generation in a synthetic larynx model,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks The mechanisms of subharmonic tone generation in a synthetic larynx model,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.251472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4c760d18-5122-4d92-a9c8-ed10bf7045eb · outbound
This paper cites Synthetic multi-line kymographic analysis: A spatiotem- poral data reduction technique for high-speed videoen- doscopy,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Synthetic multi-line kymographic analysis: A spatiotem- poral data reduction technique for high-speed videoen- doscopy,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.233124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7a7cdd50-a692-4697-a064-9893080b5f18 · outbound
This paper cites Irregular vocal- fold vibration—High-speed observation and modeling,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Irregular vocal- fold vibration—High-speed observation and modeling,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.215907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0330644-1e46-428e-a5bb-779d01e02c42 · outbound
This paper cites Spatio-temporal analysis of irregular vocal fold oscil- lations: Biphonation due to desynchronization of spatial modes,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Spatio-temporal analysis of irregular vocal fold oscil- lations: Biphonation due to desynchronization of spatial modes,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.198727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 68bad3d3-ddae-498a-bc1a-024d2d180e26 · outbound
This paper cites Regulating glottal airflow in phonation: Application of the maximum power transfer theorem to a low dimensional phonation model,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Regulating glottal airflow in phonation: Application of the maximum power transfer theorem to a low dimensional phonation model,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.180756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation af0f80a4-c05d-4833-9fd1-b300a4c24ec5 · outbound
This paper cites Analysis, synthesis, and perception of voice quality variations among female and male talkers,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Analysis, synthesis, and perception of voice quality variations among female and male talkers,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.159989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8e806f33-1428-48f6-9891-d454566a9bcb · outbound
This paper cites Glottal airflow and transglottal air pressure measurements for male and female speakers in soft, normal, and loud voice,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Glottal airflow and transglottal air pressure measurements for male and female speakers in soft, normal, and loud voice,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.135544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aac34f0e-166e-49ac-b116-8f63ecb8aa00 · outbound
This paper cites Adam: A Method for Stochastic Optimization,.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Adam: A Method for Stochastic Optimization,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.116079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0b9093a2-fa10-4c59-9c2e-2fab119b45e8 · outbound
This paper cites Disordered V oice Database and Program [Model 4337],.
Towards detecting the pathological subharmonic voicing with fully convolutional neural networks Disordered V oice Database and Program [Model 4337],
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:14:25.097724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.