Paper Citation Record · LEDGER

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection

As of 12 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2509.09175.

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

pith.paper-citation-record.v1
2509.09175 v1

Coverage vector

measured 62 of 62 reference resolution

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measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T10:28:22.453820Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 9e61517d-83b6-4862-8bba-dccecbbcc6d9 · outbound

This paper cites Asvspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Asvspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 1

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Observation d8ae4f8c-4df6-4b5d-8834-a4d75741dc7b · outbound

This paper cites CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

Reference 2

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Observation 50776e04-6bb1-4881-bbc5-32fb62cf93c9 · outbound

This paper cites Aasist3: Kan-enhanced aasist speech deepfake detection using ssl features and additional regularization for the asvspoof 2024 challenge,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Aasist3: Kan-enhanced aasist speech deepfake detection using ssl features and additional regularization for the asvspoof 2024 challenge,

Reference 3

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Observation 22c6a242-7c07-4fb9-aa82-29d5edf093da · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 4

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Observation 6b5d2fbe-6db3-41f8-a01b-8151965077e2 · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 5

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Source-reported events for the cited work

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Observation 42a860d6-b608-42f0-b262-19c3d866853f · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:26.752799Z

Source-reported events for the cited work

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Observation 498a1191-8534-48ee-bb4a-d989f45d3531 · outbound

This paper cites Learn from real: reality defender’s submission to asvspoof5 challenge,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Learn from real: reality defender’s submission to asvspoof5 challenge,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:26.811824Z

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Observation 16a2d937-2780-4802-a986-d9b1409744b1 · outbound

This paper cites Peft-ser: On the use of parameter efficient transfer learning approaches for speech emotion recognition using pre- trained speech models,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Peft-ser: On the use of parameter efficient transfer learning approaches for speech emotion recognition using pre- trained speech models,

Reference 8

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Observation 442220de-eaa2-4d6b-8fdd-ea0834ad28fa · outbound

This paper cites PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques

Reference 9

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Observation f5af7429-8913-4402-a9ae-f1ebad3f3921 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

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Observation ecfff722-331f-4df5-ae13-4058782cb55b · outbound

This paper cites X-lora: Mixture of low-rank adapter experts, a flexible framework for large language models with appli- cations in protein mechanics and molecular design,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection X-lora: Mixture of low-rank adapter experts, a flexible framework for large language models with appli- cations in protein mechanics and molecular design,

Reference 11

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Observation bcd6788c-2d94-4fce-9215-357c3e2411bb · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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Observation d1c2eb36-9da2-4eb5-b15a-26c536277600 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 13

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Observation b4016bff-8614-4827-8e25-b67cda9bb738 · outbound

This paper cites Mixture of A Million Experts.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Mixture of A Million Experts

Reference 14

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Observation 6e1e16d4-1592-44df-822a-1ad66aaaef8e · outbound

This paper cites Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts,

Reference 15

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Observation 0645af8c-2bc8-4eb0-981d-ed3fef437a2e · outbound

This paper cites AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 16

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Observation c98fe56a-7c31-48d7-942c-1bb2771b9382 · outbound

This paper cites Adaptermix: Exploring the efficacy of mixture of adapters for low-resource tts adaptation,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Adaptermix: Exploring the efficacy of mixture of adapters for low-resource tts adaptation,

Reference 17

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Observation a80f0cdd-6755-46e7-945e-cc720d132eb2 · outbound

This paper cites Moe-ffd: Mixture of experts for generalized and parameter-efficient face forgery detection,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Moe-ffd: Mixture of experts for generalized and parameter-efficient face forgery detection,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:27.406210Z

Source-reported events for the cited work

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Observation 3387b20a-329e-46bd-94c8-e744a022718d · outbound

This paper cites Mixture of lora experts,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Mixture of lora experts,

Reference 19

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Source-reported events for the cited work

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Observation e71a7a06-99c8-47c6-bc1e-ab5032375729 · outbound

This paper cites Attention is all you need,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Attention is all you need,

Reference 20

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Source-reported events for the cited work

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Observation dccbc5ce-3281-4247-a735-0a3280c2ef20 · outbound

This paper cites Attentive merging of hidden embeddings from pre-trained speech model for anti-spoofing detection,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Attentive merging of hidden embeddings from pre-trained speech model for anti-spoofing detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:27.554581Z

Source-reported events for the cited work

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Observation ffcc0233-1023-46f1-ab9f-0171f3987d29 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 22

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Observation 358c3471-c0d9-40c8-85b2-ec2687cc0572 · outbound

This paper cites A survey on lora networking: Research problems, current solutions, and open issues,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection A survey on lora networking: Research problems, current solutions, and open issues,

Reference 23

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Observation aa3d488f-19f2-42d3-8d71-84593692de37 · outbound

This paper cites Mixture-of-experts with expert choice routing,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Mixture-of-experts with expert choice routing,

Reference 24

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Observation e52f48aa-afc8-4fba-8f60-a8e6c41a453f · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 25

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Observation eaad7d50-c8c8-423c-a681-d2f274001293 · outbound

This paper cites Speech foundation model ensembles for the controlled singing voice deepfake detection (ctrsvdd) challenge 2024,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Speech foundation model ensembles for the controlled singing voice deepfake detection (ctrsvdd) challenge 2024,

Reference 26

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Observation a719c4e9-1ca6-4f82-b0f5-674aa98375f6 · outbound

This paper cites The Expressive Power of Low-Rank Adaptation.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection The Expressive Power of Low-Rank Adaptation

Reference 27

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Observation 35f7b1bd-e857-4848-b271-a4503828b550 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale,

Reference 28

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Observation 848c1aaf-d54a-4383-9768-2fc677161c19 · outbound

This paper cites The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations,

Reference 29

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Observation cb014dbe-4d5c-4238-9b0c-a9593d95dfef · outbound

This paper cites A single end-to-end voice anti-spoofing model with graph attention and feature aggregation for asvspoof 5 challenge,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection A single end-to-end voice anti-spoofing model with graph attention and feature aggregation for asvspoof 5 challenge,

Reference 30

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Observation a56a2e1e-edf2-4d8f-9681-6552597b9b28 · outbound

This paper cites A study of guided masking data augmentation for deepfake speech detection,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection A study of guided masking data augmentation for deepfake speech detection,

Reference 31

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Observation 8d5f0672-958c-4602-a79d-41cfef8d30d7 · outbound

This paper cites Enhancing spoofing detection in asvspoof 5 workshop 2024: fusion of wavlm-resnet18-sa for optimal performance against speech deepfakes,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Enhancing spoofing detection in asvspoof 5 workshop 2024: fusion of wavlm-resnet18-sa for optimal performance against speech deepfakes,

Reference 32

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Observation 76fc21ef-2d16-4cdf-9d43-a95ebe74b6d3 · outbound

This paper cites Exploring wavlm back- ends for speech spoofing and deepfake detection,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Exploring wavlm back- ends for speech spoofing and deepfake detection,

Reference 33

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Observation b536bf72-91c5-4ba2-b61c-f95340407f66 · outbound

This paper cites Wavlm model ensemble for audio deepfake detection,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Wavlm model ensemble for audio deepfake detection,

Reference 34

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Observation b3f4e066-afc5-47d7-809d-5dd91d53825f · outbound

This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 35

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Observation a3d99d15-ceae-4833-894c-0d751bda2fc7 · outbound

This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 36

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Observation 888ed3db-8aef-4776-8ec4-eb1ce59ed668 · outbound

This paper cites Does audio deepfake detection generalize?.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Does audio deepfake detection generalize?

Reference 37

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This paper cites Robust audio deepfake detection: Exploring front-/back-end combinations and data augmentation strate- gies for the asvspoof5 challenge,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Robust audio deepfake detection: Exploring front-/back-end combinations and data augmentation strate- gies for the asvspoof5 challenge,

Reference 38

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This paper cites Ai-synthesized voice detection using neural vocoder artifacts,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Ai-synthesized voice detection using neural vocoder artifacts,

Reference 39

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This paper cites Dfadd: The diffusion and flow-matching based audio deepfake dataset,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Dfadd: The diffusion and flow-matching based audio deepfake dataset,

Reference 40

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This paper cites The Fake-or-Real Dataset,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection The Fake-or-Real Dataset,

Reference 41

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Observation 7bcb1ea6-5443-4c86-89e1-a2595681ac02 · outbound

This paper cites Speech arena: Speech deepfake leaderboard,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Speech arena: Speech deepfake leaderboard,

Reference 42

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Observation 39bad17e-1cd5-435f-a93e-ee7a54f76ed9 · outbound

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit,

Reference 43

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Observation 8b22a565-f130-470e-98f4-93fce908a1f5 · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection WaveNet: A Generative Model for Raw Audio

Reference 44

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Observation 8d589217-0c50-48e4-8824-724d316dc43f · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,

Reference 45

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Mls: A large-scale multilingual dataset for speech research,

Reference 46

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Observation 53fff485-e278-4622-b773-7695c7021ff4 · outbound

This paper cites Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Reference 47

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This paper cites Low-Resource Multilingual and Zero-Shot Multispeaker TTS.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Low-Resource Multilingual and Zero-Shot Multispeaker TTS

Reference 48

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Observation a3d4efd4-e109-4887-a478-5a4012b86cd4 · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,

Reference 49

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Observation 340fe693-35d8-4fd5-95d7-040645ff8ec4 · outbound

This paper cites Glow-tts: A generative flow for text-to-speech via monotonic alignment search,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Glow-tts: A generative flow for text-to-speech via monotonic alignment search,

Reference 50

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Observation 2cbd3c2b-93a2-4968-ac0c-9ce15b9976f0 · outbound

This paper cites Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform

Reference 51

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Observation 75a2e6e7-66ba-4d1c-8379-6f8fab5fca2e · outbound

This paper cites P-flow: A fast and data-efficient zero-shot tts through speech prompting,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection P-flow: A fast and data-efficient zero-shot tts through speech prompting,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.382603Z

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Observation 22f6a433-e921-48fa-aaf5-161bf922802c · outbound

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

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Matcha-tts: A fast tts architecture with conditional flow matching,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.465327Z

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Observation c99e8299-53ef-4080-a2c8-b90d6bc3b6e6 · outbound

This paper cites Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.518622Z

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Observation 67759627-10f1-4b28-876c-4066934de0a3 · outbound

This paper cites Grad- tts: A diffusion probabilistic model for text-to-speech,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Grad- tts: A diffusion probabilistic model for text-to-speech,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.576890Z

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Observation 60d08358-92fd-4fcf-ae04-9d1b4c507705 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.663715Z

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Observation f9f1113f-9f64-49be-b291-99101b1afe32 · outbound

This paper cites Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.719531Z

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Observation 4416c69e-7cc9-4c9e-8ecd-6d28d99763cf · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.774849Z

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Observation 7f2bda4b-27ae-465c-9966-e83eb48d9040 · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Generation.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection WaveGrad: Estimating Gradients for Waveform Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.831388Z

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Observation ae9621c4-edce-4bfe-9f05-4fce2a993088 · outbound

This paper cites V oxForge speech dataset,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection V oxForge speech dataset,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:29.889332Z

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Observation e987ff1d-ba53-4efc-8452-832fe9358039 · outbound

This paper cites Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

Reference 61

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Observation 38e4db1f-b9d7-45db-8ca6-d5eb7f6e4e9f · outbound

This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal,.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Catastrophic forgetting, rehearsal and pseudorehearsal,

Reference 62

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Pith citing papers

Observation 36d40298-5761-4e16-a2be-ed767dca83ea · inbound

Teffic-Audio: Tell Fact from Fiction cites this paper.

Teffic-Audio: Tell Fact from Fiction MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection

Reference 20

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