https://nanless.github.io/audio-paper-digest-blog/tags/%E9%9F%B3%E9%A2%91%E6%B7%B1%E5%BA%A6%E4%BC%AA%E9%80%A0%E6%A3%80%E6%B5%8B/ Recent content in 音频深度伪造检测 on 语音/音频论文速递 Hugo zh-cn Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-a-parameter-efficient-multi-scale-convolutional/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-a-parameter-efficient-multi-scale-convolutional/ A Parameter-Efficient Multi-Scale Convolutional Adapter for Synthetic Speech Detection https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-a-superb-style-benchmark-of-self-supervised/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-a-superb-style-benchmark-of-self-supervised/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-ai-generated-music-detection-in-broadcast/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-ai-generated-music-detection-in-broadcast/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-assessing-the-impact-of-speaker-identity-in/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-assessing-the-impact-of-speaker-identity-in/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-audio-deepfake-detection-at-the-first-greeting-hi/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-audio-deepfake-detection-at-the-first-greeting-hi/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-audio-visual-deepfake-generation-and-detection-an/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-audio-visual-deepfake-generation-and-detection-an/ 音频深度伪造检测 | 6.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-auxiliary-multi-label-training-for-improving-the/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-auxiliary-multi-label-training-for-improving-the/ 音频深度伪造检测 | 6.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-avatar-audio-visual-adaptive-fusion-via-trained/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-avatar-audio-visual-adaptive-fusion-via-trained/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-beyond-face-swapping-a-diffusion-based-digital/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-beyond-face-swapping-a-diffusion-based-digital/ 音频深度伪造检测 | 8.1/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-combining-ssl-speech-features-contextual/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-combining-ssl-speech-features-contextual/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-compspoof-a-dataset-and-joint-learning-framework/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-compspoof-a-dataset-and-joint-learning-framework/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-discrete-continuous-fusion-with-adaptive/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-discrete-continuous-fusion-with-adaptive/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-disentangled-authenticity-representation-for/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-disentangled-authenticity-representation-for/ 音频深度伪造检测 | 6.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-dynamic-noise-aware-multi-lora-framework-towards/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-dynamic-noise-aware-multi-lora-framework-towards/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-dynamic-spectrogram-analysis-with-local-aware/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-dynamic-spectrogram-analysis-with-local-aware/ 音频深度伪造检测 | 8.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-echofake-a-replay-aware-dataset-for-practical/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-echofake-a-replay-aware-dataset-for-practical/ 音频深度伪造检测 | 8.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-few-shot-recognition-of-audio-deepfake-generators/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-few-shot-recognition-of-audio-deepfake-generators/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-hanui-harnessing-distributional-discrepancies-for/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-hanui-harnessing-distributional-discrepancies-for/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-how-to-label-resynthesized-audio-the-dual-role-of/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-how-to-label-resynthesized-audio-the-dual-role-of/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/icassp2026-task-132/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/icassp2026-task-132/ 共 29 篇 ICASSP 2026 音频深度伪造检测 方向论文 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-kan-we-make-models-simpler-for-audio-deepfake/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-kan-we-make-models-simpler-for-audio-deepfake/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-leveraging-large-multimodal-models-for-audio/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-leveraging-large-multimodal-models-for-audio/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-localizing-speech-deepfakes-beyond-transitions/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-localizing-speech-deepfakes-beyond-transitions/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-msct-differential-cross-modal-attention-for/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-msct-differential-cross-modal-attention-for/ 音频深度伪造检测 | 6.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-on-deepfake-voice-detection-its-all-in-the/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-on-deepfake-voice-detection-its-all-in-the/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-robust-deepfake-audio-detection-via-multi-level/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-robust-deepfake-audio-detection-via-multi-level/ 音频深度伪造检测 | 7.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-streammark-a-deep-learning-based-semi-fragile/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-streammark-a-deep-learning-based-semi-fragile/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-subgraph-localization-in-the-subbands-for/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-subgraph-localization-in-the-subbands-for/ 音频深度伪造检测 | 8.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-the-impact-of-audio-watermarking-on-audio-anti/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-the-impact-of-audio-watermarking-on-audio-anti/ 音频深度伪造检测 | 8.5/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-towards-data-drift-monitoring-for-speech-deepfake/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-towards-data-drift-monitoring-for-speech-deepfake/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-understanding-the-strengths-and-weaknesses-of-ssl/ Wed, 29 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-29-understanding-the-strengths-and-weaknesses-of-ssl/ 音频深度伪造检测 | 7.0/10 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-23-environmental-sound-deepfake-detection-using-deep/ Thu, 23 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-23-environmental-sound-deepfake-detection-using-deep/ 1. **问题**：针对环境声音（包括声音场景和声音事件）的深度伪造检测（ESDD）任务，现有研究不足，且尚不清楚声音场景与声音事件的伪造检测是否需要不同模型。 2. **方法核心**：提出一个深度学习框架，核心是采用预训练的音频模型（BEATs）作为特征提取器，并结合一种三阶段训练策略（包含对 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-23-indic-codecfake-meets-satyam-towards-detecting/ Thu, 23 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-23-indic-codecfake-meets-satyam-towards-detecting/ 1. **问题**：现有针对基于神经音频编解码器的语音深度伪造（CodecFake）检测的研究主要集中在英语和中文，对于语言多样性极高的印度语言缺乏大规模的基准数据集和有效的检测方法。 2. **方法**：作者构建了首个大规模印度语言CodecFake数据集（ICF），并提出了一个名为SATYA https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-22-environmental-sound-deepfake-detection-using-deep/ Wed, 22 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-22-environmental-sound-deepfake-detection-using-deep/ 本文针对环境声音（如声音事件、声音场景）的深度伪造检测这一新兴任务，提出了一个系统的深度学习框架。**核心贡献**在于通过大量实验，系统评估了不同频谱图（MEL, CQT, Gammatone）、多种CNN架构（ResNet, Inception等）以及预训练模型（BEATs）在该任务上的表现，并验 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-21-hcfd-a-benchmark-for-audio-deepfake-detection-in/ Tue, 21 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-21-hcfd-a-benchmark-for-audio-deepfake-detection-in/ 本文针对医疗健康领域中神经音频编解码器生成的语音深伪检测问题，提出了一个全新的研究任务（HCFD）和基准数据集（HCFK）。研究发现，在健康语音上训练的现有深伪检测模型在病态语音上性能显著下降。为此，论文首先验证了预训练音频模型（如PaSST）能更好地应对病理语音带来的变异性。更重要的是，本文提出了 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-21-iclad-in-context-learning-with-comparison/ Tue, 21 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-21-iclad-in-context-learning-with-comparison/ 本文针对音频深度伪造检测模型在真实场景（in-the-wild）中泛化能力差的核心问题，提出了一种名为ICLAD的全新范式。该框架利用音频语言模型（ALM）的上下文学习能力，实现了无需训练的快速适应。其核心是创新的**成对比较推理**策略：在离线阶段，引导ALM为每个样本同时生成“真实”和“伪造”的 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-20-artifactnet-detecting-ai-generated-music-via/ Mon, 20 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-20-artifactnet-detecting-ai-generated-music-via/ 本文旨在解决AI生成音乐检测中泛化性差和模型参数效率低的问题。作者提出了一种名为**ArtifactNet**的新框架，其核心创新在于将问题**重新定义为“法医物理学”**，即直接提取和分析神经音频编解码器在生成音频中不可避免留下的物理痕迹（残留物）。该方法使用一个轻量级的**Bounded-mas https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-19-classical-machine-learning-baselines-for-deepfake/ Sun, 19 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-19-classical-machine-learning-baselines-for-deepfake/ 本文旨在解决深度伪造音频检测领域缺乏透明、可解释基线的问题。研究团队采用经典机器学习方法，在Fake-or-Real (FoR) 数据集上构建了一个完整的检测流程。他们从高保真（44.1 kHz）和电 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-19-streammark-a-deep-learning-based-semi-fragile/ Sun, 19 Apr 2026 00:00:00 +0000 https://nanless.github.io/audio-paper-digest-blog/posts/2026-04-19-streammark-a-deep-learning-based-semi-fragile/ 本文针对生成式AI带来的音频深度伪造威胁，提出了一种名为StreamMark的主动防御框架。该框架是一种基于深度学习的半脆弱音频水印系统，其核心创新在于重新定义了水印的目标：不是追求对所有变换的绝对鲁