Paper Citation Record · LEDGER

Rhythm Features for Speaker Identification

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2506.06834.

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

pith.paper-citation-record.v1
2506.06834 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:07.435997Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:04.008475Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:54:08.361418Z

Reference resolution

32 of 32 outbound references displayed

verified exact5
verified fuzzy20
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c47e5e7b-a891-4f4e-80c3-872e70f9e8fe · outbound

This paper cites an unresolved cited work.

Rhythm Features for Speaker Identification Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:54:13.271527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3f4dd10-0d06-474a-bb20-03f7b3ec3f38 · outbound

This paper cites For example, [11] demonstrated that human listeners were able to identify familiar speakers based on only a sinusoidal encoding of the prosodic informa- tion in speech.

Rhythm Features for Speaker Identification For example, [11] demonstrated that human listeners were able to identify familiar speakers based on only a sinusoidal encoding of the prosodic informa- tion in speech

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:13.054283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa410efc-82a1-4641-9fff-3b368902c93f · outbound

This paper cites Rhythm Features for Speaker Identification.

Rhythm Features for Speaker Identification Rhythm Features for Speaker Identification

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:54:08.482430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6d38783-3ffe-4835-ba9f-9eb975717d90 · outbound

This paper cites Datasets We evaluate our approach on a closed-set SI task using two pop- ular speech datasets.

Rhythm Features for Speaker Identification Datasets We evaluate our approach on a closed-set SI task using two pop- ular speech datasets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:12.691984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c25e25d8-041c-4101-8ecc-61c15eef1b71 · outbound

This paper cites Additionally, it is better suited to our closed-set identi- fication task than other commonly used measures, such as equal error rate (EER).

Rhythm Features for Speaker Identification Additionally, it is better suited to our closed-set identi- fication task than other commonly used measures, such as equal error rate (EER)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:12.366008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 406f3c22-f2a8-4119-bd03-8df349f8a56a · outbound

This paper cites Discussion Our results are consistent with prior works [2, 3] that have suggested rhythm features do convey useful information about a speaker’s identity.

Rhythm Features for Speaker Identification Discussion Our results are consistent with prior works [2, 3] that have suggested rhythm features do convey useful information about a speaker’s identity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:12.175705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53377cd6-1458-4229-96e6-f00d78470ba2 · outbound

This paper cites Durations of context- dependent phonemes: A new feature in speaker verification,.

Rhythm Features for Speaker Identification Durations of context- dependent phonemes: A new feature in speaker verification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:10.666295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 028b0074-465d-45ce-b6bd-e94900cf3c93 · outbound

This paper cites Prosodic pa- rameter for speaker identification,.

Rhythm Features for Speaker Identification Prosodic pa- rameter for speaker identification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:10.441207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40c9c841-afce-47e3-88d1-a9483ff02afd · outbound

This paper cites Speaker recognition by machines and humans: A tutorial review,.

Rhythm Features for Speaker Identification Speaker recognition by machines and humans: A tutorial review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:11.971180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab08149a-b143-4b5d-a9dc-5e658b131205 · outbound

This paper cites We used the pre-existing identifica- tion split, which uses roughly95%of the utterances for training and the remaining5%for testing.

Rhythm Features for Speaker Identification We used the pre-existing identifica- tion split, which uses roughly95%of the utterances for training and the remaining5%for testing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:12.514529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6651ab3-e85a-430b-beea-90175a08c77b · outbound

This paper cites Is phoneme length and phoneme energy useful in automatic speaker recognition?.

Rhythm Features for Speaker Identification Is phoneme length and phoneme energy useful in automatic speaker recognition?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:11.788813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79f82602-70e2-48e3-8f0e-de41d3af3c31 · outbound

This paper cites Other works, however, such as [13] have found that content can have a substantial influence on certain aspects of the speaker’s prosody.

Rhythm Features for Speaker Identification Other works, however, such as [13] have found that content can have a substantial influence on certain aspects of the speaker’s prosody

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:12.873829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3fef487-3d24-482d-bc30-51e7fc883489 · outbound

This paper cites Intrinsic phone durations are speaker-specific,.

Rhythm Features for Speaker Identification Intrinsic phone durations are speaker-specific,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:11.491929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 878ef969-b1df-4b60-8b17-4f754decae99 · outbound

This paper cites What determines duration-based rhythm measures: text or speaker?.

Rhythm Features for Speaker Identification What determines duration-based rhythm measures: text or speaker?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:11.212587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d853395-be5f-418c-93af-4b809e211051 · outbound

This paper cites Extraction and representation of prosodic features for language and speaker recognition,.

Rhythm Features for Speaker Identification Extraction and representation of prosodic features for language and speaker recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:10.964542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff9843ba-ad83-49a2-92a3-5a0cc28e648a · outbound

This paper cites Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization.

Rhythm Features for Speaker Identification Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:54:08.210687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95e1751b-1236-4cd7-9a5b-858ef3a85bc0 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Rhythm Features for Speaker Identification Robust Speech Recognition via Large-Scale Weak Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:06.944151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd7a73f-c587-42bf-b65f-ba31151625be · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

Rhythm Features for Speaker Identification Lib- rispeech: an asr corpus based on public domain audio books,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:10.169887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cc2a9a4-e143-4516-ac91-7356b31f31f9 · outbound

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

Rhythm Features for Speaker Identification V oxceleb: a large- scale speaker identification dataset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:09.869062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22708e30-6233-4650-af6a-ecf4cd757192 · outbound

This paper cites On the importance of pure prosody in the perception of speaker identity,.

Rhythm Features for Speaker Identification On the importance of pure prosody in the perception of speaker identity,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:09.615160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fc3e0fc-4607-4b20-82b0-67155870bfbb · outbound

This paper cites Speaker idiosyncratic rhythmic features in the speech signal,.

Rhythm Features for Speaker Identification Speaker idiosyncratic rhythmic features in the speech signal,

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T05:54:07.585336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a67c0dcb-b08a-4288-aac9-bb840b46e271 · outbound

This paper cites How stable are acoustic metrics of contrastive speech rhythm?.

Rhythm Features for Speaker Identification How stable are acoustic metrics of contrastive speech rhythm?

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:09.406348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 701d603e-08e5-4652-96c2-2827259db652 · outbound

This paper cites Speech rate normalization used to improve speaker verification,.

Rhythm Features for Speaker Identification Speech rate normalization used to improve speaker verification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:09.247335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a31148a8-0d21-46c6-8e8a-c7ef37354a60 · outbound

This paper cites Phoneme duration modeling using speech rhythm-based speaker embeddings for multi-speaker speech synthesis.

Rhythm Features for Speaker Identification Phoneme duration modeling using speech rhythm-based speaker embeddings for multi-speaker speech synthesis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:08.995644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3af9745-c40e-4454-8921-92433606a7d6 · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio,.

Rhythm Features for Speaker Identification Whisperx: Time-accurate speech transcription of long-form audio,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:06.859629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b76104-1cff-4184-9d31-d430f5668a06 · outbound

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

Rhythm Features for Speaker Identification Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:07.029788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa06a12-12ce-44d2-a4d7-055ac1174e82 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Rhythm Features for Speaker Identification SpeechBrain: A General-Purpose Speech Toolkit

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:07.103872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d74c528-c8ac-4ed6-af2f-cc29a99eabe4 · outbound

This paper cites Metrics for Multi-Class Classification: an Overview.

Rhythm Features for Speaker Identification Metrics for Multi-Class Classification: an Overview

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:07.182515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421f1a32-f7e0-47a4-9dc3-69e2765aab3e · outbound

This paper cites Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature.

Rhythm Features for Speaker Identification Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:54:08.006889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d64348cd-c582-481b-8c7d-222d99e010e1 · outbound

This paper cites Probing the in- formation encoded in x-vectors,.

Rhythm Features for Speaker Identification Probing the in- formation encoded in x-vectors,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:08.741765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ba2e869-2962-4fd8-b72e-65056bfdd04d · outbound

This paper cites An empirical analysis of information encoded in disentangled neural speaker representations.

Rhythm Features for Speaker Identification An empirical analysis of information encoded in disentangled neural speaker representations

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:54:07.850121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e035620-68bf-4465-95bf-3bfac055ce88 · outbound

This paper cites Available: https://doi.org/10.1515/lp-2013-0012.

Rhythm Features for Speaker Identification Available: https://doi.org/10.1515/lp-2013-0012

Reference 2013

Resolution: verified exact; doi, observed 2026-08-07T05:54:07.708316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation aa410efc-82a1-4641-9fff-3b368902c93f · inbound