activity
20202026
most citedAISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines

82 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents

Yuqian Zhang, Yao Shi, Kexin Huang +7

Zero-shot text-to-speech (TTS) now supports interactive assistants, personalized media, and accessibility tools. All TTS systems require faithful linguistic rendering, consistent s…

eess.AS2024

Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System

Ze Li, Yao Shi, Yunfei Xu +1

Speaker embedding based zero-shot Text-to-Speech (TTS) systems enable high-quality speech synthesis for unseen speakers using minimal data. However, these systems are vulnerable to…

cs.SD2023

VoiceLens: Controllable Speaker Generation and Editing with Flow

Yao Shi, Ming Li

Currently, many multi-speaker speech synthesis and voice conversion systems address speaker variations with an embedding vector. Modeling it directly allows new voices outside of t…

eess.AS2023

BiSinger: Bilingual Singing Voice Synthesis

Huali Zhou, Yueqian Lin, Yao Shi +2

Although Singing Voice Synthesis (SVS) has made great strides with Text-to-Speech (TTS) techniques, multilingual singing voice modeling remains relatively unexplored. This paper pr…

cs.SD2020★ 82 cited

AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines

Yao Shi, Hui Bu, Xin Xu +2

In this paper, we present AISHELL-3, a large-scale and high-fidelity multi-speaker Mandarin speech corpus which could be used to train multi-speaker Text-to-Speech (TTS) systems. T…