3 citations · 5 across the 7 of their papers we have counts for
7 papers
An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder
Yicheng Gu, Xueyao Zhang, Liumeng Xue +2
Generative Adversarial Network (GAN) based vocoders are superior in both inference speed and synthesis quality when reconstructing an audible waveform from an acoustic representati…
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion
Liumeng Xue, Chaoren Wang, Mingxuan Wang +3
In this study, we present SingVisio, an interactive visual analysis system that aims to explain the diffusion model used in singing voice conversion. SingVisio provides a visual di…
Transfer the linguistic representations from TTS to accent conversion with non-parallel data
Xi Chen, Jiakun Pei, Liumeng Xue +1
Accent conversion aims to convert the accent of a source speech to a target accent, meanwhile preserving the speaker's identity. This paper introduces a novel non-autoregressive fr…
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Xueyao Zhang, Liumeng Xue, Yicheng Gu +16
Amphion is an open-source toolkit for Audio, Music, and Speech Generation, targeting to ease the way for junior researchers and engineers into these fields. It presents a unified f…
Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder
Yicheng Gu, Xueyao Zhang, Liumeng Xue +1
Generative Adversarial Network (GAN) based vocoders are superior in inference speed and synthesis quality when reconstructing an audible waveform from an acoustic representation. T…
Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion
Xueyao Zhang, Zihao Fang, Yicheng Gu +5
Singing Voice Conversion (SVC) is a technique that enables any singer to perform any song. To achieve this, it is essential to obtain speaker-agnostic representations from the sour…
An Initial Investigation of Neural Replay Simulator for Over-the-Air Adversarial Perturbations to Automatic Speaker Verification
Jiaqi Li, Li Wang, Liumeng Xue +2
Deep Learning has advanced Automatic Speaker Verification (ASV) in the past few years. Although it is known that deep learning-based ASV systems are vulnerable to adversarial examp…