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20222026
most citedDiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion

5 citations · 8 across the 19 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.AS2024★ 1 cited

StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

Jixun Yao, Yuguang Yang, Yu Pan +4

Zero-shot voice conversion (VC) aims to transfer the timbre from the source speaker to an arbitrary unseen speaker while preserving the original linguistic content. Despite recent…

eess.AS2024

NPU-NTU System for Voice Privacy 2024 Challenge

Jixun Yao, Nikita Kuzmin, Qing Wang +6

Speaker anonymization is an effective privacy protection solution that conceals the speaker's identity while preserving the linguistic content and paralinguistic information of the…

eess.AS2024

Drop the beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation

Ziqian Ning, Shuai Wang, Yuepeng Jiang +5

Rap, a prominent genre of vocal performance, remains underexplored in vocal generation. General vocal synthesis depends on precise note and duration inputs, requiring users to have…

eess.AS2024

MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement

Jixun Yao, Qing Wang, Pengcheng Guo +4

Speaker anonymization is an effective privacy protection solution designed to conceal the speaker's identity while preserving the linguistic content and para-linguistic information…

eess.AS2024

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion

Ziqian Ning, Shuai Wang, Pengcheng Zhu +4

Streaming voice conversion has become increasingly popular for its potential in real-time applications. The recently proposed DualVC 2 has achieved robust and high-quality streamin…

eess.AS2024

Distinctive and Natural Speaker Anonymization via Singular Value Transformation-assisted Matrix

Jixun Yao, Qing Wang, Pengcheng Guo +2

Speaker anonymization is an effective privacy protection solution that aims to conceal the speaker's identity while preserving the naturalness and distinctiveness of the original s…