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20232026
most citedThe First VoicePrivacy Attacker Challenge

6 citations · 8 across the 20 of their papers we have counts for

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8 papers · 1 filter

eess.AS2026

Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio Infilling

Ye-Xin Lu, Xin Wang, Yang Ai +3

Recent zero-shot text-to-speech (TTS) systems achieve remarkable naturalness and speaker similarity but typically require high-quality speaker prompts and either strip away or enta…

eess.AS2025★ 6 cited

The First VoicePrivacy Attacker Challenge

Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent +1

The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted t…

eess.AS2024

The First VoicePrivacy Attacker Challenge Evaluation Plan

Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent +1

The First VoicePrivacy Attacker Challenge is a new kind of challenge organized as part of the VoicePrivacy initiative and supported by ICASSP 2025 as the SP Grand Challenge It focu…

eess.AS2024

Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches

Chang Zeng, Xiaoxiao Miao, Xin Wang +2

In real-world applications, it is challenging to build a speaker verification system that is simultaneously robust against common threats, including spoofing attacks, channel misma…

eess.AS2024

Target Speaker Extraction with Curriculum Learning

Yun Liu, Xuechen Liu, Xiaoxiao Miao +1

This paper presents a novel approach to target speaker extraction (TSE) using Curriculum Learning (CL) techniques, addressing the challenge of distinguishing a target speaker's voi…

eess.AS2024

Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio

Lin Zhang, Xin Wang, Erica Cooper +4

This paper defines Spoof Diarization as a novel task in the Partial Spoof (PS) scenario. It aims to determine what spoofed when, which includes not only locating spoof regions but…

eess.AS2023

Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting

Hemant Yadav, Erica Cooper, Junichi Yamagishi +2

This paper introduces a novel objective function for quality mean opinion score (MOS) prediction of unseen speech synthesis systems. The proposed function measures the similarity o…

eess.AS2023★ 2 cited

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

Erica Cooper, Wen-Chin Huang, Yu Tsao +3

We present the second edition of the VoiceMOS Challenge, a scientific event that aims to promote the study of automatic prediction of the mean opinion score (MOS) of synthesized an…