1.5k citations · 1.5k across the 14 of their papers we have counts for
14 papers
Determination of nonthermal bonding origin of a novel photoexcited lattice instability in SnSe
Yijing Huang, Samuel Teitelbaum, Shan Yang +10
Interatomic forces that bind materials are largely determined by an often complex interplay between the electronic band-structure and the atomic arrangements to form its equilibriu…
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…
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…
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…
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…
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…
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…
Controllable Emotion Transfer For End-to-End Speech Synthesis
Tao Li, Shan Yang, Liumeng Xue +1
Emotion embedding space learned from references is a straightforward approach for emotion transfer in encoder-decoder structured emotional text to speech (TTS) systems. However, th…
Accent and Speaker Disentanglement in Many-to-many Voice Conversion
Zhichao Wang, Wenshuo Ge, Xiong Wang +6
This paper proposes an interesting voice and accent joint conversion approach, which can convert an arbitrary source speaker's voice to a target speaker with non-native accent. Thi…
Fine-grained Emotion Strength Transfer, Control and Prediction for Emotional Speech Synthesis
Yi Lei, Shan Yang, Lei Xie
This paper proposes a unified model to conduct emotion transfer, control and prediction for sequence-to-sequence based fine-grained emotional speech synthesis. Conventional emotion…
Learn2Sing: Target Speaker Singing Voice Synthesis by learning from a Singing Teacher
Heyang Xue, Shan Yang, Yi Lei +2
Singing voice synthesis has been paid rising attention with the rapid development of speech synthesis area. In general, a studio-level singing corpus is usually necessary to produc…
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis
Fengyu Yang, Shan Yang, Qinghua Wu +2
Attention-based seq2seq text-to-speech systems, especially those use self-attention networks (SAN), have achieved state-of-art performance. But an expressive corpus with rich proso…
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
Geng Yang, Shan Yang, Kai Liu +3
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech. Specifically, we improve the original MelGAN by the f…
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise
Shan Yang, Yuxuan Wang, Lei Xie
Attention-based sequence-to-sequence (seq2seq) speech synthesis has achieved extraordinary performance. But a studio-quality corpus with manual transcription is necessary to train…