Paper Citation Record · LEDGER

Adaptive Duration Model for Text Speech Alignment

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2507.22612.

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

pith.paper-citation-record.v1
2507.22612 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:34:09.630347Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:34:07.882293Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:34:10.011767Z

Reference resolution

25 of 25 outbound references displayed

verified exact2
verified fuzzy12
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 769360fc-7bb6-4889-b742-f172efc4899d · outbound

This paper cites A typical TTS system includes an encoder, a decoder, and an alignment mechanism linking linguistic and acoustic representations [3–6].

Adaptive Duration Model for Text Speech Alignment A typical TTS system includes an encoder, a decoder, and an alignment mechanism linking linguistic and acoustic representations [3–6]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:12.419908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e822238e-0ba3-457f-bee2-0dc2c323cba7 · outbound

This paper cites Adaptive Duration Model for Text Speech Alignment.

Adaptive Duration Model for Text Speech Alignment Adaptive Duration Model for Text Speech Alignment

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:34:10.121918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50b46a03-b979-44fc-86c3-0b452df8c76e · outbound

This paper cites We use Premium and Basic subsets of Wenet- Speech4TTS as our experiment dataset.

Adaptive Duration Model for Text Speech Alignment We use Premium and Basic subsets of Wenet- Speech4TTS as our experiment dataset

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T11:34:12.271952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 458ac7de-2dbe-4a37-80c5-c02a70b6ea43 · outbound

This paper cites Durformer outperforms baseline methods with respect to efficiency and accuracy.

Adaptive Duration Model for Text Speech Alignment Durformer outperforms baseline methods with respect to efficiency and accuracy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:12.084758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e2b5885-beda-4b19-8418-c051f936a75c · outbound

This paper cites One tts align- ment to rule them all,.

Adaptive Duration Model for Text Speech Alignment One tts align- ment to rule them all,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.898860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c5d9294-2c5c-4955-820b-fd37b48e7a1b · outbound

This paper cites Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens.

Adaptive Duration Model for Text Speech Alignment Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:08.167239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b85757-2026-4848-bdb3-4bc26b481cdf · outbound

This paper cites Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis.

Adaptive Duration Model for Text Speech Alignment Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:08.232019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc12977-4893-42a9-9c18-67a74ec62837 · outbound

This paper cites Fastspeech: Fast, robust and controllable text to speech,.

Adaptive Duration Model for Text Speech Alignment Fastspeech: Fast, robust and controllable text to speech,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.701373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03f6445e-4212-4a15-8f2a-1c798a8804c9 · outbound

This paper cites Fastpitch: Parallel text-to-speech with pitch prediction,.

Adaptive Duration Model for Text Speech Alignment Fastpitch: Parallel text-to-speech with pitch prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.524555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10183caa-b808-4807-92b6-767070d9fb8e · outbound

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

Adaptive Duration Model for Text Speech Alignment FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:08.523005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849ba4da-4596-46cd-8456-028e7175abd4 · outbound

This paper cites Location-relative attention mechanisms for ro- bust long-form speech synthesis,.

Adaptive Duration Model for Text Speech Alignment Location-relative attention mechanisms for ro- bust long-form speech synthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.359121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 368df377-e60e-4603-b996-af6b64354af5 · outbound

This paper cites Seed-TTS: A Family of High-Quality Versatile Speech Generation Models.

Adaptive Duration Model for Text Speech Alignment Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:08.681690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ddde11-7728-46f0-97c8-631b877d30c0 · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

Adaptive Duration Model for Text Speech Alignment NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:08.767437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a3f2b53-4432-4704-bf13-5ce8b7d01f08 · outbound

This paper cites Non-autoregressive neural text-to-speech,.

Adaptive Duration Model for Text Speech Alignment Non-autoregressive neural text-to-speech,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.191926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21c31295-447d-46b1-8bc5-31f1d935c5ab · outbound

This paper cites Durian-e 2: Duration informed attention net- work with adaptive variational autoencoder and adver- sarial learning for expressive text-to-speech synthesis,.

Adaptive Duration Model for Text Speech Alignment Durian-e 2: Duration informed attention net- work with adaptive variational autoencoder and adver- sarial learning for expressive text-to-speech synthesis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:11.038847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6cbc73b0-781d-4ae4-99b2-0c2dc1b537e5 · outbound

This paper cites Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features.

Adaptive Duration Model for Text Speech Alignment Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:34:09.863491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10f337af-c4fa-42b6-bcc3-fe35ea5ccb08 · outbound

This paper cites Simple-tts: End-to-end text-to-speech synthesis with latent diffusion,.

Adaptive Duration Model for Text Speech Alignment Simple-tts: End-to-end text-to-speech synthesis with latent diffusion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:10.878139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f2d6d4c-ffdd-4fe9-8d08-605b21eeb050 · outbound

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

Adaptive Duration Model for Text Speech Alignment Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:09.160142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f29d60-5a31-40d7-a324-22c2f553eea3 · outbound

This paper cites Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,.

Adaptive Duration Model for Text Speech Alignment Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:10.727750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbfaa89b-f5e3-42c5-8734-c4c308da99e2 · outbound

This paper cites Portaspeech: Portable and high-quality generative text-to-speech,.

Adaptive Duration Model for Text Speech Alignment Portaspeech: Portable and high-quality generative text-to-speech,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:10.564583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a65be6c9-43c0-465b-a52b-8a8010999c00 · outbound

This paper cites V oicebox: Text-guided multilingual universal speech generation at scale,.

Adaptive Duration Model for Text Speech Alignment V oicebox: Text-guided multilingual universal speech generation at scale,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:34:10.353445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 752c8ba0-a959-4247-8d1e-c3737aee4cf3 · outbound

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

Adaptive Duration Model for Text Speech Alignment MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:09.403232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb08e55-b39c-4f59-ab51-4d28892893d5 · outbound

This paper cites SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models.

Adaptive Duration Model for Text Speech Alignment SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:09.476364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b91bcd-6dbd-4bf0-b070-a152a73ffcc4 · outbound

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

Adaptive Duration Model for Text Speech Alignment F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:09.568289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a86135-f78e-4daf-8f2e-11ed8cd36458 · outbound

This paper cites WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark.

Adaptive Duration Model for Text Speech Alignment WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:09.630347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e822238e-0ba3-457f-bee2-0dc2c323cba7 · inbound