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Paper Citation Record · LEDGER

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.09932.

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

pith.paper-citation-record.v1
2509.09932 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:29:41.653077Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation d6d3d452-9bbe-4763-9754-dd92033584b0 · outbound

This paper cites Front- end factor analysis for speaker verification,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Front- end factor analysis for speaker verification,

Reference 1

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source=pdf_text observed=2026-08-04T18:29:39.492161Z digest=sha256:69cd81101b6eecf76ae75b6e9fae9a4fdc47e35412140f19939ab2e6b9168e66

Observation 63ba7234-cfeb-47f8-b922-37007cd4b268 · outbound

This paper cites Unsupervised speaker adaptation based on the cosine similarity for text-independent speaker verification.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Unsupervised speaker adaptation based on the cosine similarity for text-independent speaker verification

Reference 2

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source=pdf_text observed=2026-08-04T18:29:39.544721Z digest=sha256:bcc861baa0046fbdf98e4e07664196724f7d42e7269f6c1fe487ca7a58b5fa32

Observation 6a6e3dea-1dc9-48d5-b307-44cfaa38912d · outbound

This paper cites Probabilistic linear discriminant analysis,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Probabilistic linear discriminant analysis,

Reference 3

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Observation 8665c159-c6a6-443b-a2fc-46b411f155b5 · outbound

This paper cites X- vectors: robust DNN embeddings for speaker recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification X- vectors: robust DNN embeddings for speaker recognition,

Reference 4

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Observation 4b53a3e3-13ec-45c7-8cfa-a8ed9a372233 · outbound

This paper cites Speaker recognition for multi-speaker conversations using x-vectors,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Speaker recognition for multi-speaker conversations using x-vectors,

Reference 5

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source=pdf_text observed=2026-08-04T18:29:39.771133Z digest=sha256:82814542c7ee66c25a2d96ea31326c1e66ed66142e18deabe3a0d18e6865da49

Observation 3a77ee79-50cc-4ef3-b5ee-2f33f51f5ef6 · outbound

This paper cites A time delay neural net- work architecture for efficient modeling of long temporal contexts,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification A time delay neural net- work architecture for efficient modeling of long temporal contexts,

Reference 6

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source=pdf_text observed=2026-08-04T18:29:39.863814Z digest=sha256:95c51dad05465e3b45568a802dc8d504a4ee0c5fd6e709477e7b9f8862b4b10f

Observation 8901f83c-d7b4-4998-9b71-af33e5dd3dc8 · outbound

This paper cites Deep residual learning for image recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Deep residual learning for image recognition,

Reference 7

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Observation 8f7b6053-79e0-416b-af8e-804604c26770 · outbound

This paper cites Deep speaker embedding extraction with channel-wise feature responses and additive supervision softmax loss function,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Deep speaker embedding extraction with channel-wise feature responses and additive supervision softmax loss function,

Reference 8

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source=pdf_text observed=2026-08-04T18:29:40.026239Z digest=sha256:8df82c7a219aa4e100a190087665b46e11bed31d6d4f19a9cc1106796ef1e1a4

Observation e5dcc0e0-506b-4610-aa71-3bfedce6a715 · outbound

This paper cites Squeeze-and-excitation networks,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Squeeze-and-excitation networks,

Reference 9

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Observation e9703e86-4a2e-4861-bae4-470deb5b6057 · outbound

This paper cites ECAPA-TDNN: emphasized channel attention, propagation and aggregation in TDNN based speaker verification,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification ECAPA-TDNN: emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 10

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source=pdf_text observed=2026-08-04T18:29:40.138295Z digest=sha256:e22f992cac9dc620a09453eaf9f474b0c7e50ef09d79f1edf0a13807e15612d3

Observation 3f1d29ef-ae3c-462c-895c-f1ee65bb0be2 · outbound

This paper cites Res2net: a new multi-scale backbone architecture,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Res2net: a new multi-scale backbone architecture,

Reference 11

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Observation a89059b5-12f0-4e45-8565-9789ca8ab6ea · outbound

This paper cites Branch-ECAPA- TDNN: a parallel branch architecture to capture local and global features for speaker verification,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Branch-ECAPA- TDNN: a parallel branch architecture to capture local and global features for speaker verification,

Reference 12

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source=pdf_text observed=2026-08-04T18:29:40.272617Z digest=sha256:e2f83502c181a1ff742164e5b7a64f803a08423333fce8016bebb7b88be8e90a

Observation fde410a4-ff5c-4b4a-bb64-defc324417cb · outbound

This paper cites DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification

Reference 13

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Observation 4e8a0e25-5511-49a2-94a4-9e60853a4b1a · outbound

This paper cites PCF: ECAPA-TDNN with progressive channel fusion for speaker verification,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification PCF: ECAPA-TDNN with progressive channel fusion for speaker verification,

Reference 14

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Observation 7c1a1037-9d1d-45d5-9507-d69975399b0c · outbound

This paper cites ECAPA++: fine-grained deep embedding learning for TDNN based speaker verification,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification ECAPA++: fine-grained deep embedding learning for TDNN based speaker verification,

Reference 15

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Observation f7a29ffb-79c3-46d4-a6d3-0e9e3c1cb8c5 · outbound

This paper cites PhaseDCN: a phase-enhanced dual-path dilated convolutional network for single- channel speech enhancement,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification PhaseDCN: a phase-enhanced dual-path dilated convolutional network for single- channel speech enhancement,

Reference 16

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Observation db91d461-3330-439a-95ae-ed0c97b9d61b · outbound

This paper cites V oxCeleb: a large-scale speaker identification dataset,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification V oxCeleb: a large-scale speaker identification dataset,

Reference 17

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Observation d36ef299-7540-4d61-899a-c59792f4a884 · outbound

This paper cites V oxCeleb: large- scale speaker verification in the wild,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification V oxCeleb: large- scale speaker verification in the wild,

Reference 18

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Observation bd0ee946-5adc-43d4-ba5b-648309e83642 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification VoxCeleb2: Deep Speaker Recognition

Reference 19

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Observation ad15ad06-6042-4b90-ba77-417988e0dbb7 · outbound

This paper cites CN-Celeb: a challenging chinese speaker recog- nition dataset,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification CN-Celeb: a challenging chinese speaker recog- nition dataset,

Reference 20

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Observation 30f44b7e-eabe-4992-b50c-37da4d4c1a2c · outbound

This paper cites CN-Celeb: multi-genre speaker recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification CN-Celeb: multi-genre speaker recognition,

Reference 21

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Observation 021b3e74-e6de-4648-8514-55c41cb83777 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification MUSAN: A Music, Speech, and Noise Corpus

Reference 22

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Observation 3c3623f2-7185-4714-80a3-83800aaeb397 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification A study on data augmentation of reverberant speech for robust speech recognition,

Reference 23

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Observation 50e7e4b4-82cd-4515-bdde-58683159c110 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 24

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Observation e9f94205-1f78-4997-9cd2-1700ae3c4922 · outbound

This paper cites Arcface: additive angular margin loss for deep face recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Arcface: additive angular margin loss for deep face recognition,

Reference 25

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Observation 815fab33-ae83-42f1-9158-f1671ee133be · outbound

This paper cites Margin matters: to- wards more discriminative deep neural network embeddings for speaker recognition,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Margin matters: to- wards more discriminative deep neural network embeddings for speaker recognition,

Reference 26

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source=pdf_text observed=2026-08-04T18:29:41.333015Z digest=sha256:6cbdcfd1a76083e82500aa6e9806566539a0dcc0a4f6cb9005ae51866c5e1d98

Observation 2a7f8947-b81e-4007-8ac4-a6350212779d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Adam: A Method for Stochastic Optimization

Reference 27

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Observation d879a90a-5f53-43a5-b4fa-0aed6bbe05fe · outbound

This paper cites Cyclical learning rates for training neural networks,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Cyclical learning rates for training neural networks,

Reference 28

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source=pdf_text observed=2026-08-04T18:29:41.489308Z digest=sha256:f0237e2bc60559dba31237250b261e3a73acbf43c87147f72aca5c3e4923420d

Observation f24ddda2-fe02-4540-8d53-bcb704aa0e5b · outbound

This paper cites Duality temporal-channel-frequency attention enhanced speaker representation learning,.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification Duality temporal-channel-frequency attention enhanced speaker representation learning,

Reference 29

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Observation 81c03d8f-5cba-4908-9af8-282172876454 · outbound

This paper cites CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking.

Effective Modeling of Critical Contextual Information for TDNN-based Speaker Verification CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking

Reference 30

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Pith citing papers

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