Paper Citation Record · LEDGER

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.00832.

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

pith.paper-citation-record.v1
2506.00832 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Source: pith, observed 2026-08-07T12:00:13.204804Z

Reference resolution

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External citation measurements

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Outbound references

Observation 02f6f1f8-c1ca-42de-870b-2c079d7d87b2 · outbound

This paper cites What would the internal representation look like if the model aimed for a higher pitch rather than the current, lower one?.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models What would the internal representation look like if the model aimed for a higher pitch rather than the current, lower one?

Reference 1

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This paper cites Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models

Reference 2

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This paper cites What would the internal representation look like if the synthesized speech had a higher pitch rather than a lower pitch?.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models What would the internal representation look like if the synthesized speech had a higher pitch rather than a lower pitch?

Reference 3

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Unresolved cited work

Reference 4

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This paper cites In planning its data processing techniques.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models In planning its data processing techniques

Reference 5

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Unresolved cited work

Reference 6

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This paper cites 2022-0-00984, Devel- opment of Artificial Intelligence Technology for Personalized Plug-and-Play Explanation and Verification of Explanation; No.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models 2022-0-00984, Devel- opment of Artificial Intelligence Technology for Personalized Plug-and-Play Explanation and Verification of Explanation; No

Reference 7

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This paper cites Tacotron: Towards End-to-End Speech Synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Tacotron: Towards End-to-End Speech Synthesis

Reference 8

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This paper cites Natural tts synthesis by conditioning wavenet on mel spectrogram predic- tions,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Natural tts synthesis by conditioning wavenet on mel spectrogram predic- tions,

Reference 9

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Observation 24f6eeb6-59af-4911-b21b-dd9f13ab3f56 · outbound

This paper cites Neural speech synthe- sis with transformer network,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Neural speech synthe- sis with transformer network,

Reference 10

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Observation 508dffc0-9d53-459f-ba21-77ad334033e4 · outbound

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

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Fastspeech: Fast, robust and controllable text to speech,

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Reference 12

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This paper cites WaveNet: A Generative Model for Raw Audio.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models WaveNet: A Generative Model for Raw Audio

Reference 13

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This paper cites Waveglow: A flow-based generative network for speech synthesis,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Waveglow: A flow-based generative network for speech synthesis,

Reference 14

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This paper cites Mel- gan: Generative adversarial networks for conditional waveform synthesis,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Mel- gan: Generative adversarial networks for conditional waveform synthesis,

Reference 15

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Observation 4337127c-beb1-442c-8cd1-27d4b13c3992 · outbound

This paper cites Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,

Reference 16

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This paper cites Style tokens: Un- supervised style modeling, control and transfer in end-to-end speech synthesis,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Style tokens: Un- supervised style modeling, control and transfer in end-to-end speech synthesis,

Reference 17

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This paper cites To- wards end-to-end prosody transfer for expressive speech synthesis with tacotron,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models To- wards end-to-end prosody transfer for expressive speech synthesis with tacotron,

Reference 18

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This paper cites Hierarchical Generative Modeling for Controllable Speech Synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Hierarchical Generative Modeling for Controllable Speech Synthesis

Reference 19

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This paper cites Prosody under con- trol: Controlling prosody in text-to-speech synthesis by adjust- ments in latent reference space,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Prosody under con- trol: Controlling prosody in text-to-speech synthesis by adjust- ments in latent reference space,

Reference 20

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This paper cites Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis

Reference 21

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This paper cites Hierarchical prosody modeling and control in non-autoregressive parallel neural tts,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Hierarchical prosody modeling and control in non-autoregressive parallel neural tts,

Reference 22

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This paper cites Analysis of pronunciation learning in end-to-end speech synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Analysis of pronunciation learning in end-to-end speech synthesis

Reference 23

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This paper cites Expressive prosody for unit- selection speech synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Expressive prosody for unit- selection speech synthesis

Reference 24

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This paper cites Speaking rate attention-based duration prediction for speed control TTS.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Speaking rate attention-based duration prediction for speed control TTS

Reference 25

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This paper cites Speaking rate control of end-to-end tts models by direct manipulation of the encoder’s out- put embeddings,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Speaking rate control of end-to-end tts models by direct manipulation of the encoder’s out- put embeddings,

Reference 26

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Observation 0b83458a-f700-4ac0-ad80-36057ab40fb3 · outbound

This paper cites Unified Mandarin TTS Front-end Based on Distilled BERT Model.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Unified Mandarin TTS Front-end Based on Distilled BERT Model

Reference 27

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This paper cites Speech audio corrector: using speech from non-target speakers for one- off correction of mispronunciations in grapheme-input text-to- speech,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Speech audio corrector: using speech from non-target speakers for one- off correction of mispronunciations in grapheme-input text-to- speech,

Reference 28

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This paper cites Exact prosody cloning in zero- shot multispeaker text-to-speech,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Exact prosody cloning in zero- shot multispeaker text-to-speech,

Reference 29

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Observation f68dbea8-097f-45fe-9527-0df732a749dd · outbound

This paper cites Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,

Reference 30

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models What do Neural Machine Translation Models Learn about Morphology?

Reference 32

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models What is one grain of sand in the desert? analyzing individual neu- rons in deep nlp models,

Reference 33

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This paper cites Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Diffeomorphic counterfactuals with generative models,

Reference 35

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 36

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Neural discrete represen- tation learning,

Reference 37

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This paper cites The lj speech dataset,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models The lj speech dataset,

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This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 39

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This paper cites Robust speech recognition via large-scale weak su- pervision,.

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Robust speech recognition via large-scale weak su- pervision,

Reference 40

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Language models are unsupervised multitask learners,

Reference 41

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Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Speech quality assessment,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:13.409116Z

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Pith citing papers

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