<p>Dataset information for ASVspoof 2019 LA and ASVspoof 2021 LA.</p>

NIAID Data Ecosystem2026-05-10 收录

数据链接：

https://figshare.com/articles/dataset/_p_Dataset_information_for_ASVspoof_2019_LA_and_ASVspoof_2021_LA_p_/30980757 数据链接链接失效反馈

官方服务：

资源简介：

Dataset information for ASVspoof 2019 LA and ASVspoof 2021 LA.

创建时间：

2025-12-31

CD-ADD

伪造音频检测

语音反欺骗

CD-ADD（跨领域音频深度伪造检测）是一个专为语音反欺骗和合成语音检测任务设计的基准数据集。该数据集将真实的人类语音与五种先进的零样本文本转语音系统（OpenVoice、VALL-E、WhisperSpeech、YourTTS、Seamless）生成的深度伪造语音进行配对。数据来源于LibriTTS的test-clean子集以及CD-ADD发布的所有TED演讲内容。核心任务为二分类：区分真实语音

Hugging Face2026-06-02 更新160

Latin-American voice anti-spoofing dataset

语音反欺骗

拉丁美洲口音识别

This dataset contains samples of spoof and real human voice with different accents from Latin-American countries. Table 1. Real samples distribution Acce

NIAID Data Ecosystem70

Key files for Spoofing and Anti-Spoofing (SAS) corpus v1.0

语音反欺骗

语音生物识别安全

These files are complementary to the fileset: Wu et al. (2015). Spoofing and Anti-Spoofing (SAS) corpus v1.0, [dataset]. University of Edinburgh. The Centre for Speech Technology Research (CSTR). http

Scottish Government Open Data Portal2017-06-22 更新60

ASVspoof2021_DF

伪造音频检测

语音反欺骗

ASVspoof 2021 DF数据集是ASVspoof 2021挑战赛的DeepFake评估子集，专门用于语音反欺骗和深度伪造语音检测的基准测试。该数据集的核心任务是二元分类：区分真实的人类语音（bonafide）与合成、转换或经过其他方式操纵的伪造语音（spoof）。数据集共包含611,829个语音样本，其中真实语音22,617个，伪造语音589,212个。所有音频文件均经过标准化处理，转换为

Hugging Face2026-05-30 更新90

Transformer-based Focal-Pairwise Attentive Ranking Network for Anti-Spoofing

语音反欺骗

语音合成检测

A Transformer solution for detecting AI-generated synthetic speech in the ASVspoof5 challenge. This model distinguishes between genuine human speech (bonafide) and AI-generated synthetic speech (spoof

DataONE2025-12-03 更新70

<p>Dataset information for ASVspoof 2019 LA and ASVspoof 2021 LA.</p>

资源简介：

相关数据集