Paper Citation Record · LEDGER

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.14226.

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

pith.paper-citation-record.v1
2506.14226 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:39.522256Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:34.275071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:23:40.027554Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy19
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b9f8a7c-1599-4d43-b0e3-545013616521 · outbound

This paper cites Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:23:40.118664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9973e933-9aa8-47a3-94dc-ffd25c2d0d66 · outbound

This paper cites Figure 1 illustrates the entire workflow along with implementation details.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Figure 1 illustrates the entire workflow along with implementation details

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:46.916252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a44aaad9-7fe4-4cab-80fd-52a8424a1a83 · outbound

This paper cites an unresolved cited work.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:23:46.580564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7fa08d6c-1160-481a-b3c6-1ba4cfe359b1 · outbound

This paper cites In this chap- ter, we will analyze the results from four aspects: TTS models, speech durations, text content, and fusion techniques.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification In this chap- ter, we will analyze the results from four aspects: TTS models, speech durations, text content, and fusion techniques

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:23:46.156485Z

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Observation fc16b29f-4270-402a-9526-bd1d131046f7 · outbound

This paper cites an unresolved cited work.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:23:45.791905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfdc2aa2-fad8-43ee-897c-2718a8beda32 · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification X-vectors: Robust dnn embeddings for speaker recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:45.438945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 297f5257-1324-411c-8c10-a9896aae4609 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:35.159496Z

Source-reported events for the cited work

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Observation f97ac33d-b4d3-4252-9882-0c1fa44a9ae7 · outbound

This paper cites BUT System Description to VoxCeleb Speaker Recognition Challenge 2019.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:35.266115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c0fe75-1074-40f5-8838-8a34627ac098 · outbound

This paper cites Mfa-conformer: Multi-scale feature aggregation con- former for automatic speaker verification,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Mfa-conformer: Multi-scale feature aggregation con- former for automatic speaker verification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:45.099236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24f4ab30-36b1-4060-8fde-d6ed1896065f · outbound

This paper cites Memory storable network based feature aggregation for speaker representation learning,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Memory storable network based feature aggregation for speaker representation learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:44.808818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ec4f438-5efa-4479-9acc-4b2a69076981 · outbound

This paper cites Whisper-pmfa: Partial multi-scale feature aggregation for speaker verification using whisper models,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Whisper-pmfa: Partial multi-scale feature aggregation for speaker verification using whisper models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:44.356554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8bdc73cb-126e-45c9-b724-6b5d1ba3a97c · outbound

This paper cites Cam++: A fast and efficient network for speaker verification using context- aware masking,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Cam++: A fast and efficient network for speaker verification using context- aware masking,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:44.041649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 151a4959-cb8f-428f-bf76-24f60cc67119 · outbound

This paper cites ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.116032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30666ed-781b-4b9e-a053-dd84df28f6e6 · outbound

This paper cites Overview of speaker modeling and its applications: From the lens of deep speaker representation learning,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Overview of speaker modeling and its applications: From the lens of deep speaker representation learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:43.653995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3bc998b-e31d-40b5-aa07-a8fa0904985b · outbound

This paper cites A Deep Neural Network for Short-Segment Speaker Recognition.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification A Deep Neural Network for Short-Segment Speaker Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.448875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3d4389-ef59-4375-bc69-a325f536e4a1 · outbound

This paper cites Deep speaker embedding learning with multi-level pooling for text-independent speaker verification,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Deep speaker embedding learning with multi-level pooling for text-independent speaker verification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:43.255824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c5f8383-47a0-4eb4-a978-36769352e694 · outbound

This paper cites Improving multi-scale aggregation using feature pyramid module for robust speaker verification of variable-duration utterances,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Improving multi-scale aggregation using feature pyramid module for robust speaker verification of variable-duration utterances,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:42.940747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation def8d12d-299e-4f01-94fb-17fcdc48ecaa · outbound

This paper cites Improving aggregation and loss function for better embedding learning in end-to-end speaker verification system.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Improving aggregation and loss function for better embedding learning in end-to-end speaker verification system

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:42.523611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de3e5762-cc57-4d0a-a919-a4f3bf82ac27 · outbound

This paper cites Meta- learning for short utterance speaker recognition with imbalance length pairs,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Meta- learning for short utterance speaker recognition with imbalance length pairs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:42.158144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb082490-694a-442f-afce-26d928525058 · outbound

This paper cites Text-independent speaker verification with adversarial learning on short utterances,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Text-independent speaker verification with adversarial learning on short utterances,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:41.927984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba0ee5bc-5b31-4819-90cf-2da52a2f0e78 · outbound

This paper cites Short utterance compensation in speaker verification via cosine-based teacher- student learning of speaker embeddings,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Short utterance compensation in speaker verification via cosine-based teacher- student learning of speaker embeddings,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:37.552964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e984d1ca-eb9e-47e3-8dc6-c5de88d29acc · outbound

This paper cites Open-set short utterance forensic speaker verification using teacher-student network with explicit inductive bias,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Open-set short utterance forensic speaker verification using teacher-student network with explicit inductive bias,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:41.719782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73aa36b4-de62-4249-9755-cc41a372d421 · outbound

This paper cites Cnn-based joint mapping of short and long utterance i-vectors for speaker verification us- ing short utterances.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Cnn-based joint mapping of short and long utterance i-vectors for speaker verification us- ing short utterances

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:41.469790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13daafee-65ca-4e1c-b3a5-a1dbea829d88 · outbound

This paper cites I-vector transformation us- ing conditional generative adversarial networks for short utterance speaker verification,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification I-vector transformation us- ing conditional generative adversarial networks for short utterance speaker verification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:41.261227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d22789f-ddf8-4565-884f-55962c6a5249 · outbound

This paper cites Data augmentation using deep generative models for embedding based speaker recog- nition,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Data augmentation using deep generative models for embedding based speaker recog- nition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:41.118213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb19a3e5-de23-4c3e-97b2-2d27d19b2232 · outbound

This paper cites Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:23:39.839245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27676973-d98d-4a4b-87fb-31005c1d8553 · outbound

This paper cites Synaug: Synthesis- based data augmentation for text-dependent speaker verification,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Synaug: Synthesis- based data augmentation for text-dependent speaker verification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.915478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ea03eae-a2b2-4f40-8d73-c1b3035e4ac6 · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:38.647520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 361f4ba3-eb41-495f-acab-c941748f4b61 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:38.830041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d3e78e-d0b8-4bbf-804e-24cab88dc804 · outbound

This paper cites F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:38.994437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37eb4ea3-c883-4700-810d-680a1b0903a4 · outbound

This paper cites V oxceleb: Large-scale speaker verification in the wild,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification V oxceleb: Large-scale speaker verification in the wild,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:39.162765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9061c3ca-6c0f-4f46-9b81-48cbe11d2ac7 · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.645490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22e0c373-417c-4506-8d24-986b3f37aa1c · outbound

This paper cites MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:39.416451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f541d2-dcb5-47fb-b289-9d0f53cbba39 · outbound

This paper cites Naturalspeech 3: Zero-shot speech syn- thesis with factorized codec and diffusion models,.

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification Naturalspeech 3: Zero-shot speech syn- thesis with factorized codec and diffusion models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.326165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 0b9f8a7c-1599-4d43-b0e3-545013616521 · inbound