Paper Citation Record · LEDGER

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.00733.

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

pith.paper-citation-record.v1
2506.00733 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:16.743139Z

measured 34 of 34 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 2026-08-07T12:03:13.849812Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:03:17.108098Z

Reference resolution

33 of 33 outbound references displayed

verified exact2
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d96acdc6-39aa-4d61-832f-0d789259381c · outbound

This paper cites Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis

Reference 1

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Observation 88e51144-4fb0-4c0e-9073-d850caf06769 · outbound

This paper cites same speaker.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis same speaker

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:25.188941Z

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Observation d168a6de-5857-4991-a782-1a6ad762ca47 · outbound

This paper cites same speaker.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis same speaker

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:24.839143Z

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Observation 9eb6b3cd-3499-431c-8141-4568e9cfa764 · outbound

This paper cites To quantify heterogeneity, we used cosine similarity calculated from the ResNet-293 model pre-trained on the mul- tilingual V oxBlink2 dataset (Figure 1).

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis To quantify heterogeneity, we used cosine similarity calculated from the ResNet-293 model pre-trained on the mul- tilingual V oxBlink2 dataset (Figure 1)

Reference 4

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Observation a7c1f109-c137-462a-b0c0-784415aadb78 · outbound

This paper cites Our results indicate that a threshold of 0.354 effectively reduces speaker heterogeneity while minimizing data loss.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Our results indicate that a threshold of 0.354 effectively reduces speaker heterogeneity while minimizing data loss

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:24.098603Z

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Observation 249fe12f-b596-4e42-b31c-f39df4dcdcb7 · outbound

This paper cites an unresolved cited work.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Unresolved cited work

Reference 6

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Observation f2a43edd-b01d-4a6f-af0b-f4e4b296fdc7 · outbound

This paper cites Common V oice: A massively-multilingual speech corpus,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Common V oice: A massively-multilingual speech corpus,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:23.388238Z

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Observation fe95b7f8-057b-4e78-9d1c-c2739aebc945 · outbound

This paper cites V oxCommunis: A corpus for cross- linguistic phonetic analysis,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis V oxCommunis: A corpus for cross- linguistic phonetic analysis,

Reference 8

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Observation ed7a0175-e266-4315-acdb-8d08d609ec53 · outbound

This paper cites MLS: A large-scale multilingual dataset for speech research,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis MLS: A large-scale multilingual dataset for speech research,

Reference 9

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Observation 102b38ad-1ab7-4752-8997-fce9acee58ca · outbound

This paper cites VoxPopuli: A large- scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis VoxPopuli: A large- scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:22.551343Z

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Observation e6874e70-7c12-48f1-9f9a-287cea45f02d · outbound

This paper cites V oxlingua107: A dataset for spoken lan- guage recognition,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis V oxlingua107: A dataset for spoken lan- guage recognition,

Reference 11

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Observation 2fbae231-8043-48bb-aece-c23e78456f02 · outbound

This paper cites Yodas: Youtube-oriented dataset for audio and speech,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Yodas: Youtube-oriented dataset for audio and speech,

Reference 12

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Source-reported events for the cited work

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Observation e6db15fa-b26a-448a-a2fd-57b46cde6d6b · outbound

This paper cites The UCLA phonetics lab archive,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis The UCLA phonetics lab archive,

Reference 13

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Observation 1ebf7fee-13bd-45a1-aa40-8fc34a24e0bb · outbound

This paper cites Becoming a high-resource language in speech: The Catalan case in the Com- mon V oice corpus,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Becoming a high-resource language in speech: The Catalan case in the Com- mon V oice corpus,

Reference 14

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Observation eeca1e6e-d08a-4447-a22e-155d447c0ef7 · outbound

This paper cites CMU Wilderness Multilingual Speech Dataset,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis CMU Wilderness Multilingual Speech Dataset,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:21.164828Z

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Observation f49a5d82-ec07-4df2-b9fb-752b80c71f9c · outbound

This paper cites FLEURS: Few-shot learning evaluation of universal representations of speech,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis FLEURS: Few-shot learning evaluation of universal representations of speech,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:20.934095Z

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Observation b401fcc7-3c21-432a-b358-1284b5e456f1 · outbound

This paper cites Phonetic segmentation of the UCLA Phonetics Lab Archive,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Phonetic segmentation of the UCLA Phonetics Lab Archive,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:20.624907Z

Source-reported events for the cited work

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Observation 80a623aa-a479-41c0-80d9-4c59760313cc · outbound

This paper cites CommonBench: A larger scale speaker verification benchmark,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis CommonBench: A larger scale speaker verification benchmark,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:20.180756Z

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Observation 8d55fed3-a0ef-4679-a7b5-7ef050536533 · outbound

This paper cites Bengali Common Voice Speech Dataset for Automatic Speech Recognition.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Bengali Common Voice Speech Dataset for Automatic Speech Recognition

Reference 19

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Observation 8a9d9600-34a8-41bb-a8f3-9aa61540439a · outbound

This paper cites Findings of the VarDial Evaluation Campaign 2022,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Findings of the VarDial Evaluation Campaign 2022,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:19.865493Z

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Observation 3b4fc2ce-fc2e-4a7d-a135-876c0d638b37 · outbound

This paper cites PyThaiNLP: Thai natural language processing in Python,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis PyThaiNLP: Thai natural language processing in Python,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:18.227097Z

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Observation c942c4cf-38e7-4310-9020-41b7bae2575c · outbound

This paper cites V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:19.271316Z

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Observation 762b399a-a522-4b7e-8ef1-2197aee16d04 · outbound

This paper cites Zhang, E.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Zhang, E

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:19.021830Z

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Observation 75f99662-09d0-4afd-bb1b-c856110979dc · outbound

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

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis V oxceleb: Large-scale speaker verification in the wild,

Reference 24

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Observation fe3f1b48-4711-4de3-99e8-24d913cbb77f · outbound

This paper cites Analysis of deep generative model impact on feature extraction and dimension reduction for short ut- terance text-independent speaker verification,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Analysis of deep generative model impact on feature extraction and dimension reduction for short ut- terance text-independent speaker verification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:18.776073Z

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Observation 29d78567-08d4-4b55-a016-3cfcad5f4077 · outbound

This paper cites PyCantonese: Cantonese linguistics and NLP in python,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis PyCantonese: Cantonese linguistics and NLP in python,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:18.466187Z

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Observation b0e846a2-d3f3-40b3-aaba-1a0788db143d · outbound

This paper cites PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Reference 27

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Observation 4232a897-3443-458c-8de2-b1313d62753f · outbound

This paper cites fugashi, a tool for tokenizing Japanese in python,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis fugashi, a tool for tokenizing Japanese in python,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:18.049459Z

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Observation ccbe578b-3176-4489-890d-4289ddd99046 · outbound

This paper cites Introducing mul- tilingual phonetic information to speaker embedding for speaker verification,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Introducing mul- tilingual phonetic information to speaker embedding for speaker verification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:17.673593Z

Source-reported events for the cited work

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Observation f516ec25-f3c9-4ed9-9c61-25e1f2b2bcbe · outbound

This paper cites Speak- erStew: Scaling to many languages with a triaged multilingual text-dependent and text-independent speaker verification system,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Speak- erStew: Scaling to many languages with a triaged multilingual text-dependent and text-independent speaker verification system,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:17.555359Z

Source-reported events for the cited work

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Observation fb9cef74-ec07-4ccb-b67c-ca4c077fd75d · outbound

This paper cites Language dependence in multi- lingual speaker verification,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Language dependence in multi- lingual speaker verification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:17.424535Z

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 65def1ed-1a2c-4e3a-9310-09253aaaffff · outbound

This paper cites Speaker recognition across languages,.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Speaker recognition across languages,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:17.299718Z

Source-reported events for the cited work

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Observation 88dcfac0-5229-41dc-a96c-fb5efc3f1eda · outbound

This paper cites Available: http://archive.phonetics.ucla.edu.

Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysis Available: http://archive.phonetics.ucla.edu

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:03:21.415776Z

Source-reported events for the cited work

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Pith citing papers

Observation d96acdc6-39aa-4d61-832f-0d789259381c · inbound