activity
20192026
most citedCross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

IndexTTS 2.5 Technical Report

Yunpei Li, Xun Zhou, Jinchao Wang +11

In prior work, we introduced IndexTTS 2, a zero-shot neural text-to-speech foundation model comprising two core components: a transformer-based Text-to-Semantic (T2S) module and a…

eess.AS2021★ 2 cited

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

Yaogen Yang, Haozhe Zhang, Xiaoyi Qin +4

Building cross-lingual voice conversion (VC) systems for multiple speakers and multiple languages has been a challenging task for a long time. This paper describes a parallel non-a…

cs.SD2020

Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

Xiaoyi Qin, Yaogen Yang, Lin Yang +3

In this paper, we focus on improving the performance of the text-dependent speaker verification system in the scenario of limited training data. The speaker verification system dee…

eess.AS2020★ 5 cited

Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario

Zexin Cai, Yaogen Yang, Ming Li

Modeling voices for multiple speakers and multiple languages in one text-to-speech system has been a challenge for a long time. This paper presents an extension on Tacotron2 to ach…

cs.CL2019★ 3 cited

Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features

Zexin Cai, Yaogen Yang, Chuxiong Zhang +2

This paper describes a conditional neural network architecture for Mandarin Chinese polyphone disambiguation. The system is composed of a bidirectional recurrent neural network com…