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20212023
most citedPseudo Numerical Methods for Diffusion Models on Manifolds

125 citations · 462 across the 47 of their papers we have counts for

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eess.AS2023★ 19 cited

TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models

Shengpeng Ji, Jialong Zuo, Minghui Fang +5

Recently, there has been a growing interest in the field of controllable Text-to-Speech (TTS). While previous studies have relied on users providing specific style factor values ba…

eess.AS2023★ 8 cited

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Ziyue Jiang, Jinglin Liu, Yi Ren +10

Zero-shot text-to-speech (TTS) aims to synthesize voices with unseen speech prompts, which significantly reduces the data and computation requirements for voice cloning by skipping…

eess.AS2023★ 16 cited

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Ziyue Jiang, Yi Ren, Zhenhui Ye +9

Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. Howeve…

eess.AS2023★ 2 cited

Make-A-Voice: Unified Voice Synthesis With Discrete Representation

Rongjie Huang, Chunlei Zhang, Yongqi Wang +7

Various applications of voice synthesis have been developed independently despite the fact that they generate "voice" as output in common. In addition, the majority of voice synthe…

eess.AS2023

AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment

Ruiqi Li, Rongjie Huang, Lichao Zhang +2

The speech-to-singing (STS) voice conversion task aims to generate singing samples corresponding to speech recordings while facing a major challenge: the alignment between the targ…

eess.AS2023

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer

Huadai Liu, Rongjie Huang, Xuan Lin +5

Text-to-speech(TTS) has undergone remarkable improvements in performance, particularly with the advent of Denoising Diffusion Probabilistic Models (DDPMs). However, the perceived q…

eess.AS2022

DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect

Jinglin Liu, Zhenhui Ye, Qian Chen +4

Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities. Binaural audio helps users orient themse…

eess.AS2022★ 21 cited

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

Rongjie Huang, Zhou Zhao, Huadai Liu +3

Denoising diffusion probabilistic models (DDPMs) have recently achieved leading performances in many generative tasks. However, the inherited iterative sampling process costs hinde…

eess.AS2022★ 2 cited

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech

Ziyue Jiang, Zhe Su, Zhou Zhao +4

Polyphone disambiguation aims to capture accurate pronunciation knowledge from natural text sequences for reliable Text-to-speech (TTS) systems. However, previous approaches requir…

eess.AS2022★ 21 cited

GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech

Rongjie Huang, Yi Ren, Jinglin Liu +2

Style transfer for out-of-domain (OOD) speech synthesis aims to generate speech samples with unseen style (e.g., speaker identity, emotion, and prosody) derived from an acoustic re…

eess.AS2022★ 28 cited

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

Rongjie Huang, Max W. Y. Lam, Jun Wang +4

Denoising diffusion probabilistic models (DDPMs) have recently achieved leading performances in many generative tasks. However, the inherited iterative sampling process costs hinde…

eess.AS2022

Learning the Beauty in Songs: Neural Singing Voice Beautifier

Jinglin Liu, Chengxi Li, Yi Ren +2

We are interested in a novel task, singing voice beautifying (SVB). Given the singing voice of an amateur singer, SVB aims to improve the intonation and vocal tone of the voice, wh…

eess.AS2022

Revisiting Over-Smoothness in Text to Speech

Yi Ren, Xu Tan, Tao Qin +2

Non-autoregressive text to speech (NAR-TTS) models have attracted much attention from both academia and industry due to their fast generation speed. One limitation of NAR-TTS model…

eess.AS2022

ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech

Yi Ren, Ming Lei, Zhiying Huang +4

Expressive text-to-speech (TTS) has become a hot research topic recently, mainly focusing on modeling prosody in speech. Prosody modeling has several challenges: 1) the extracted p…

eess.AS2022★ 7 cited

MR-SVS: Singing Voice Synthesis with Multi-Reference Encoder

Shoutong Wang, Jinglin Liu, Yi Ren +3

Multi-speaker singing voice synthesis is to generate the singing voice sung by different speakers. To generalize to new speakers, previous zero-shot singing adaptation methods obta…