Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T14:47:58.592181Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2607.09891.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T14:47:58.592181Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
80 of 80 outbound references displayed
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Observation 500e5d23-640d-4d47-bdaa-1039c798acc7 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Warning: Humans cannot reliably detect speech deepfakes,
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Observation 97245bb3-fcfb-496f-a82d-7fda31a29bce · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Audio deepfake detection using deep learning,
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Observation 164ed5dd-068d-4779-ac97-0091eb21954f · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection A comprehensive survey of deepfake generation and detection techniques in audio-visual media,
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Observation 8e6c06dd-aa76-408a-aad9-d99c1b4d9be8 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Audio Deepfake Detection: A Survey
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Vulnerabilities of audio-based biometric authentication systems against deepfake speech synthesis,
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Observation 320195a0-9e01-4a7a-a1df-c24ab9c33ad5 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Audio deepfake detection: What has been achieved and what lies ahead,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection End-to-end anti-spoofing with RawNet2,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,
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Observation 56234ba1-da39-4deb-b9db-4d83c8d8d758 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Bias in data-driven artificial intelligence systems: An introductory survey,
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Observation 4bf8d3ad-2984-42d0-b5d9-4a0a7c765235 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fair voice biometrics: Impact of demographic imbalance on group fairness in speaker recogni- tion,
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Observation 4707b01c-377a-4af6-902e-307d88362123 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion
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Observation bd25dc13-567a-4457-bcee-b405b065c7db · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Gender fairness in audio deepfake detection: Performance and disparity analysis,
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Observation e1cfe465-de47-4d8a-bd38-7f67e9e34bb1 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fairness without demographics in repeated loss minimization,
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Observation 578d2c61-9225-4ca5-a778-f9a40eaf7c31 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection AFSS: Artifact-focused self-synthesis for mitigat- ing bias in audio deepfake detection,
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Observation bf4dde60-f1e4-405a-937a-6190c490623b · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection GBDF: Gender balanced deepfake dataset towards fair deepfake detection,
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Observation 94a2b0a1-497b-40f0-a103-847da1791cb2 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection A survey on bias and fairness in machine learning,
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Observation e6351f4d-1f6e-400a-80c1-c8dd36ac651f · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Improving fairness in deepfake detection,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Preserving fairness generalization in deepfake detection,
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Observation 724b10d1-e7bc-47c5-9d28-87e4b8fbe71a · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection FairSSD: Understanding bias in synthetic speech detectors,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Equality of opportunity in supervised learning,
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Observation 276050b4-d39d-4689-b183-545b64c19b7f · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fair prediction with disparate impact: A study of bias in recidivism prediction instruments,
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Observation 19d3b187-b1ea-49a9-a58c-52f940637ba3 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Phonetic analysis of real and synthetic speech using HuBERT embeddings: Perspectives for deepfake detection,
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Observation b378a403-35e3-4e6d-a029-27639ac92806 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Towards trustworthy audio deepfake detection: A systematic framework for diagnosing and mitigating gender bias,
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Observation 6ff8a8e8-2de7-4ea2-ade8-eb26f255bb33 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection PhonemeDF: A synthetic speech dataset for audio deepfake detection and naturalness evaluation,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Investigating the impact of speech enhancement on audio deepfake detection in noisy environments,
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Observation 74a5b503-d539-4f04-b7f4-3a33ee616212 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection An Examination of Fairness of AI Models for Deepfake Detection
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Observation beabd784-f88f-4c4c-8c33-7f7cc0270172 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Analyzing fairness in deepfake detection with massively annotated databases,
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Observation 9f2053d5-6ad8-4279-a36e-28e8d1552c64 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Bias in automated speaker recognition,
Reference 29
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Observation 6140bbc3-9585-4538-907e-f5f13063a11b · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis
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Observation bf2bad8a-eb84-4786-8c1a-c74818bd1705 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Deep residual learning for image recognition,
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Observation f0817f0d-60a7-4c63-921c-bdec0ec869f8 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Easy, interpretable, effective: openSMILE for voice deepfake detection,
Reference 32
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Observation e960aa1b-57e6-4574-b420-9d422aa6bc89 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Natural- Speech: End-to-end text-to-speech synthesis with human-level quality,
Reference 33
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Observation 48ea459f-51b7-415c-bc40-c443c5b5d9a3 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ASVspoof: The automatic speaker verification spoofing and countermeasures challenge,
Reference 34
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Observation 9c4aae33-4a1e-4e5d-b086-0ce13e99eb2d · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ASVspoof 2021: Towards spoofed and deepfake speech detection in the wild,
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Observation dc88e0cf-2c58-41f6-b86e-3a3bbb96811c · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition
Reference 37
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Observation de5d25ab-52c5-481f-b1d7-4f14d9d4b3ae · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection WavLM: Large-scale self-supervised pre-training for full stack speech processing,
Reference 38
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Observation d8f19344-3532-45f3-88f4-273318edaf5d · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Controlling the false discovery rate: A practical and powerful approach to multiple testing,
Reference 39
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Observation 2195dba8-a93a-4b69-96a4-0a548fbbf9f1 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection An intervention-based framework for shortcut diagnosis in spoofing countermeasures,
Reference 40
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Can SSL frontend generalize to all-type audio spoofing?
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Decoupled Weight Decay Regularization
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Observation 2944c02e-eb90-4b35-a0d5-5847726a4542 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Creating non-parametric bootstrap samples using Poisson frequencies,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection The control of the false discovery rate in multiple testing under dependency,
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Observation 4dda6e18-031f-4239-93d7-45f8af273cd7 · outbound
Reference 45
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Observation b66ccb00-8c55-4a6c-baa6-19e27d59d9bb · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Creating new language and voice components for the updated MaryTTS text-to-speech synthesis platform,
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Observation ffcced3b-cf2d-42d9-804e-a409a60e4ecc · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection ZMM-TTS: Zero-shot multilingual and multispeaker speech synthesis conditioned on self-supervised discrete speech representations,
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Observation a5e333e2-9209-4819-bef3-bae11bb12651 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection YourTTS: Towards zero-shot multi-speaker TTS and zero- shot voice conversion for everyone,
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Observation 598472a0-17c8-4bad-a142-30cdc42e8ed0 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Glow-TTS: A generative flow for text-to-speech via monotonic alignment search,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Grad- TTS: A diffusion probabilistic model for text-to-speech,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection BigVGAN: A Universal Neural Vocoder with Large-Scale Training
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Exact prosody cloning in zero-shot multispeaker text-to-speech,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection FastPitch: Parallel text-to-speech with pitch prediction,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection HiFi-GAN: Generative adversarial net- works for efficient and high-fidelity speech synthesis,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Natural TTS synthesis by conditioning WaveNet on mel spectrogram predictions,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection V oice conversion using speech-to-speech neuro-style transfer,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Self-supervised speech representation learning: A review,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Toward noise-aware audio deepfake detection: Survey, SNR-benchmarks, and practical recipes,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection C3-DINO: Joint contrastive and non-contrastive self-supervised learning for speaker verification,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Context and transcripts improve detection of deepfake audios of public figures,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fine-tuning self-supervised learning models for end-to-end pronunciation scoring,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Using optimal f-measure and random resampling in gene ontology enrichment calculations,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Modified FDR controlling proce- dure for multi-stage analyses,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Cyclostationarity analysis as a complement to self-supervised representations for speech deepfake detection,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Training-free cross- lingual dysarthria severity assessment via phonological subspace analysis in self-supervised speech representations,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Bootstrap confidence regions for the intensity of a Poisson point process,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection PyTorch: An imperative style, high- performance deep learning library,
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Observation 159b92fa-3cb8-4b55-88b3-4855081c08d7 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fairness through awareness,
Reference 73
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Phoneme-Level Deepfake Detection Across Emotional Conditions Using Self-Supervised Embeddings
Reference 74
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection A review on fairness in machine learning,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Fairness definitions explained,
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Observation 079a216e-b869-4b07-92f4-d76824fd3444 · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Measuring algorithmic fairness,
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Bias preservation in machine learning: The legality of fairness metrics under EU non-discrimination law,
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Observation 35f7cc17-e27f-42ad-bbe6-f0045dd5947f · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection Inclusive Speaker Verification with Adaptive thresholding
Reference 79
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Observation 36a2e6a9-a767-4e1a-87eb-db955ca2430a · outbound
What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection On fairness and calibration,
Reference 80
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No inbound Pith citation observations are available.