activity
20202023
most citedM2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

Spoken Language Intelligence of Large Language Models for Language Learning

Linkai Peng, Baorian Nuchged, Yingming Gao

People have long hoped for a conversational system that can assist in real-life situations, and recent progress on large language models (LLMs) is bringing this idea closer to real…

cs.SD2023★ 3 cited

M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis

Jinlong Xue, Yayue Deng, Fengping Wang +5

Conversational text-to-speech (TTS) aims to synthesize speech with proper prosody of reply based on the historical conversation. However, it is still a challenge to comprehensively…

cs.CV2022

A Keypoint Based Enhancement Method for Audio Driven Free View Talking Head Synthesis

Yichen Han, Ya Li, Yingming Gao +3

Audio driven talking head synthesis is a challenging task that attracts increasing attention in recent years. Although existing methods based on 2D landmarks or 3D face models can…

cs.SD2022★ 1 cited

Text-Aware End-to-end Mispronunciation Detection and Diagnosis

Linkai Peng, Yingming Gao, Binghuai Lin +3

Mispronunciation detection and diagnosis (MDD) technology is a key component of computer-assisted pronunciation training system (CAPT). In the field of assessing the pronunciation…

eess.AS2020★ 1 cited

Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism

Wang Dai, Jinsong Zhang, Yingming Gao +4

Formant tracking is one of the most fundamental problems in speech processing. Traditionally, formants are estimated using signal processing methods. Recent studies showed that gen…