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20182026
most citedMOSNet: Deep Learning based Objective Assessment for Voice Conversion

262 citations · 1.1k across the 80 of their papers we have counts for

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Showing 2022Show all

13 papers · 1 filter

eess.AS2022★ 2 cited

Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline

Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang +3

The use of modern vocoders in an analysis/synthesis pipeline allows us to investigate high-quality voice conversion that can be used for privacy purposes. Here, we propose to trans…

cs.SD2022

Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?

Xuan Shi, Erica Cooper, Xin Wang +2

With the similarity between music and speech synthesis from symbolic input and the rapid development of text-to-speech (TTS) techniques, it is worthwhile to explore ways to improve…

eess.AS2022★ 1 cited

Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders

Xin Wang, Junichi Yamagishi

A good training set for speech spoofing countermeasures requires diverse TTS and VC spoofing attacks, but generating TTS and VC spoofed trials for a target speaker may be technical…

cs.SD2022★ 5 cited

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Xuechen Liu, Xin Wang, Md Sahidullah +8

Benchmarking initiatives support the meaningful comparison of competing solutions to prominent problems in speech and language processing. Successive benchmarking evaluations typic…

eess.AS2022★ 1 cited

Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances

Chang Zeng, Xiaoxiao Miao, Xin Wang +2

Conventional automatic speaker verification systems can usually be decomposed into a front-end model such as time delay neural network (TDNN) for extracting speaker embeddings and…

cs.CL2022★ 26 cited

The VoicePrivacy 2020 Challenge Evaluation Plan

Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang +8

The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the…