Paper Citation Record · LEDGER

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2507.00227.

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

pith.paper-citation-record.v1
2507.00227 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:27.963778Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:25.532629Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:25:28.221289Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy31
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62ae4ed7-aadc-4108-929e-47e32adb34e9 · outbound

This paper cites Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:25:28.226575Z

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 49afb146-51f8-45db-b45b-9e62d7e0db1f · outbound

This paper cites Overall Pipeline The pipeline follows the architecture of ToucanTTS [22,23] due to its modularity and open-source implementation.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Overall Pipeline The pipeline follows the architecture of ToucanTTS [22,23] due to its modularity and open-source implementation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.745430Z

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 9f358991-7879-422c-88a6-e17c4e762c14 · outbound

This paper cites Datasets Training Data: For this work, we constrain ourselves to read speech, leaving experiments on conversational speech and other more challenging scenarios for future work.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Datasets Training Data: For this work, we constrain ourselves to read speech, leaving experiments on conversational speech and other more challenging scenarios for future work

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.731134Z

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 36a8c919-1b5c-4d38-85a9-b55fc6f53735 · outbound

This paper cites an unresolved cited work.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:25:28.689811Z

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 efa6ef73-0ed5-4a80-8573-fa8b4f8c2b25 · outbound

This paper cites Better speech synthesis through scaling.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Better speech synthesis through scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:26.849481Z

Source-reported events for the cited work

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Observation 1e3d7a7a-6229-458b-aee6-151703c289b9 · outbound

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

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:26.955694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e604e7-d9d6-4595-b079-2b58e419f91e · outbound

This paper cites Naturalspeech: End-to-end text-to- speech synthesis with human-level quality,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Naturalspeech: End-to-end text-to- speech synthesis with human-level quality,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.675887Z

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 7bf20346-5421-4bb7-b7dc-288481467bc3 · outbound

This paper cites The models were trained for 100k steps with a batch size of 32, which allowed all models to converge.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis The models were trained for 100k steps with a batch size of 32, which allowed all models to converge

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.703934Z

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 82a9bb4d-1a27-4e73-8901-e1fab26881cb · outbound

This paper cites DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:26.524942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584a3be3-77cc-4d51-9898-a16971698376 · outbound

This paper cites NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.661489Z

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 60025069-ceb7-4c55-a07a-21a884d9afff · outbound

This paper cites DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.645387Z

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 557055bb-dfe4-4e1c-afb2-f67bedb5357e · outbound

This paper cites FastSpeech: fast, robust and controllable text to speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis FastSpeech: fast, robust and controllable text to speech,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.586496Z

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 c5f6263b-378c-4b2b-8d67-c6a74ca4b328 · outbound

This paper cites A vector quantized approach for text to speech synthesis on real-world spontaneous speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis A vector quantized approach for text to speech synthesis on real-world spontaneous speech,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.630807Z

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 12e1a565-b37b-4476-95f3-ed08d75bc41c · outbound

This paper cites Prosody Is Not Identity: A Speaker Anonymization Approach Using Prosody Cloning,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Prosody Is Not Identity: A Speaker Anonymization Approach Using Prosody Cloning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.616984Z

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 3606ef3f-76b6-416d-a74c-7b655f6b3dc1 · outbound

This paper cites PoeticTTS - Control- lable Poetry Reading for Literary Studies,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis PoeticTTS - Control- lable Poetry Reading for Literary Studies,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.601907Z

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 8f0e7379-065e-4a69-be68-17a0be58255e · outbound

This paper cites ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.511513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49542191-d96c-4e3d-b266-6d82137c50fe · outbound

This paper cites Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.548842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e802ac51-b664-4305-b18a-33aac17ab649 · outbound

This paper cites Rectified flow: A marginal preserving approach to opti- mal transport,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Rectified flow: A marginal preserving approach to opti- mal transport,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.488634Z

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 242c652e-5f93-4d53-9255-93f37d509e64 · outbound

This paper cites FastSpeech 2: Fast and High-Quality End-to-End Text to Speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis FastSpeech 2: Fast and High-Quality End-to-End Text to Speech,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.571517Z

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 6e20df70-d04a-48c3-85fd-ea2f07fb9a7c · outbound

This paper cites FastPitch: Parallel text-to-speech with pitch pre- diction,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis FastPitch: Parallel text-to-speech with pitch pre- diction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.554875Z

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 f9a864fb-5f9b-4004-9df1-bafdeb42aba1 · outbound

This paper cites Variational inference with normal- izing flows,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Variational inference with normal- izing flows,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.538360Z

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 2090e922-1f97-4c9f-bc2e-b63a297f009c · outbound

This paper cites Flow Matching for Generative Modeling,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Flow Matching for Generative Modeling,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.522146Z

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 779bf251-b542-40dd-843b-4d7e562ca3ab · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.505410Z

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 59365757-9d0b-446c-8ee0-cca33bebc2d8 · outbound

This paper cites Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.409741Z

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 8f081286-6e61-4b29-bef8-b04928499a20 · outbound

This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.891296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb83357-74db-4dc2-b2bf-27db27d741ad · outbound

This paper cites Varianceflow: High-quality and controllable text-to-speech using variance information via nor- malizing flow,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Varianceflow: High-quality and controllable text-to-speech using variance information via nor- malizing flow,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.459704Z

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 3e3a62d0-6f2a-47c5-a44b-15eb5ad24685 · outbound

This paper cites Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:25:28.021971Z

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 048829ea-3db1-4189-b01e-022b9e6e6f6e · outbound

This paper cites The IMS Toucan system for the Blizzard Challenge 2023,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis The IMS Toucan system for the Blizzard Challenge 2023,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.444819Z

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 45cbab1c-4d07-4b45-a091-589cf8fafecc · outbound

This paper cites Meta Learning Text-to-Speech Synthesis in over 7000 Languages,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Meta Learning Text-to-Speech Synthesis in over 7000 Languages,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.426081Z

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 7bd51685-5e4c-4780-95e7-84e69a297bd8 · outbound

This paper cites This dataset is com- prised exclusively of read speech in English and features 2,456 speakers.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis This dataset is com- prised exclusively of read speech in English and features 2,456 speakers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.717629Z

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 db497eca-0ddc-452a-b11c-9af99834d4de · outbound

This paper cites Con- former: Convolution-augmented Transformer for Speech Recog- nition,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Con- former: Convolution-augmented Transformer for Speech Recog- nition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.394434Z

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 4b29a346-0c94-4e90-bac6-4cfa8a31275d · outbound

This paper cites Exact Prosody Cloning in Zero- Shot Multispeaker Text-to-Speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Exact Prosody Cloning in Zero- Shot Multispeaker Text-to-Speech,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.380250Z

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 415de59b-ad34-4d83-8309-563006018323 · outbound

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

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis ECAPA- TDNN: Emphasized Channel Attention, Propagation and Ag- gregation in TDNN Based Speaker Verification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.364082Z

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 42d95302-b371-44ce-85d5-f76c3b45f116 · outbound

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

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis SpeechBrain: A General-Purpose Speech Toolkit

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.927368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353c162b-3dc2-4405-815a-4947c14847fb · outbound

This paper cites Matcha-TTS: A fast TTS architecture with conditional flow matching,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Matcha-TTS: A fast TTS architecture with conditional flow matching,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.349774Z

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 00f2ba9f-5f93-4624-b434-7c35ec4fd020 · outbound

This paper cites Lib- riTTS: A Corpus Derived from LibriSpeech for Text-to-Speech,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Lib- riTTS: A Corpus Derived from LibriSpeech for Text-to-Speech,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.335381Z

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 bf9bc176-fd1d-4dbc-9c79-ee70e4dd65c0 · outbound

This paper cites The Ryerson Audio-Visual Database of Emotional Speech and Song (RA VDESS): A dy- namic, multimodal set of facial and vocal expressions in North American English,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis The Ryerson Audio-Visual Database of Emotional Speech and Song (RA VDESS): A dy- namic, multimodal set of facial and vocal expressions in North American English,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.321451Z

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 543afebb-e387-4652-b980-3adcf089e46d · outbound

This paper cites ADEPT: A Dataset for Evaluating Prosody Transfer,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis ADEPT: A Dataset for Evaluating Prosody Transfer,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.306765Z

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 27d9d0f8-92aa-4c9b-8c88-bac2c33b65c8 · outbound

This paper cites Scalable diffusion models with transform- ers,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Scalable diffusion models with transform- ers,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.947715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99558b67-758e-4e19-b44c-682672e7fe52 · outbound

This paper cites Divergence measures based on the shannon entropy,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Divergence measures based on the shannon entropy,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.281928Z

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 dbd4f5c4-3d6a-4fc5-9a2e-3c672fec2720 · outbound

This paper cites On information and sufficiency,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis On information and sufficiency,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:27.955443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b718218a-af35-42a3-9d89-517e3504650c · outbound

This paper cites Use of ranks in one-criterion variance analysis,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Use of ranks in one-criterion variance analysis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.257991Z

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 85f92009-20f1-448b-8b24-28193523c985 · outbound

This paper cites Multiple comparisons using rank sums,.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Multiple comparisons using rank sums,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:25:28.242311Z

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

Observation 62ae4ed7-aadc-4108-929e-47e32adb34e9 · inbound