201 citations · 374 across the 45 of their papers we have counts for
6 papers · 2 filters
Explaining Speaker and Spoof Embeddings via Probing
Xuechen Liu, Junichi Yamagishi, Md Sahidullah +1
This study investigates the explainability of embedding representations, specifically those used in modern audio spoofing detection systems based on deep neural networks, known as…
Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data
Yun Liu, Xuechen Liu, Xiaoxiao Miao +1
Target speaker extraction (TSE) is essential in speech processing applications, particularly in scenarios with complex acoustic environments. Current TSE systems face challenges in…
Improving curriculum learning for target speaker extraction with synthetic speakers
Yun Liu, Xuechen Liu, Junichi Yamagishi
Target speaker extraction (TSE) aims to isolate individual speaker voices from complex speech environments. The effectiveness of TSE systems is often compromised when the speaker c…
Disentangling the Prosody and Semantic Information with Pre-trained Model for In-Context Learning based Zero-Shot Voice Conversion
Zhengyang Chen, Shuai Wang, Mingyang Zhang +3
Voice conversion (VC) aims to modify the speaker's timbre while retaining speech content. Previous approaches have tokenized the outputs from self-supervised into semantic tokens,…
A Preliminary Case Study on Long-Form In-the-Wild Audio Spoofing Detection
Xuechen Liu, Xin Wang, Junichi Yamagishi
Audio spoofing detection has become increasingly important due to the rise in real-world cases. Current spoofing detectors, referred to as spoofing countermeasures (CM), are mainly…
Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems
Zhengyang Chen, Xuechen Liu, Erica Cooper +2
This paper proposes a speech synthesis system that allows users to specify and control the acoustic characteristics of a speaker by means of prompts describing the speaker's traits…