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20202023
most citedTotalSegmentator: robust segmentation of 104 anatomical structures in CT images

1.5k citations · 1.5k across the 14 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.SD2022

UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis

Yi Lei, Shan Yang, Xinsheng Wang +4

Text-to-speech (TTS) and singing voice synthesis (SVS) aim at generating high-quality speaking and singing voice according to textual input and music scores, respectively. Unifying…

math.NA2022

A randomized multi-index sequential Monte Carlo method

Xinzhu Liang, Shangda Yang, Simon L. Cotter +1

We consider the problem of estimating expectations with respect to a target distribution with an unknown normalizing constant, and where even the unnormalized target needs to be ap…

eess.IV2022★ 1.5k cited

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer +9

We present a deep learning segmentation model that can automatically and robustly segment all major anatomical structures in body CT images. In this retrospective study, 1204 CT ex…

cs.SD2022

Glow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion

Yi Lei, Shan Yang, Jian Cong +2

The zero-shot scenario for speech generation aims at synthesizing a novel unseen voice with only one utterance of the target speaker. Although the challenges of adapting new voices…

eess.AS2022

End-to-End Voice Conversion with Information Perturbation

Qicong Xie, Shan Yang, Yi Lei +2

The ideal goal of voice conversion is to convert the source speaker's speech to sound naturally like the target speaker while maintaining the linguistic content and the prosody of…

cs.SD2022★ 4 cited

MsEmoTTS: Multi-scale emotion transfer, prediction, and control for emotional speech synthesis

Yi Lei, Shan Yang, Xinsheng Wang +1

Expressive synthetic speech is essential for many human-computer interaction and audio broadcast scenarios, and thus synthesizing expressive speech has attracted much attention in…