activity
20202025
most citedImproving End-to-End Speech-to-Intent Classification with Reptile

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.AS2025

CUHK-EE Systems for the vTAD Challenge at NCMMSC 2025

Aemon Yat Fei Chiu, Jingyu Li, Yusheng Tian +2

This paper presents the Voice Timbre Attribute Detection (vTAD) systems developed by the Digital Signal Processing & Speech Technology Laboratory (DSP&STL) of the Department of Ele…

eess.AS2024

Personalized Voice Synthesis through Human-in-the-Loop Coordinate Descent

Yusheng Tian, Junbin Liu, Tan Lee

This paper describes a human-in-the-loop approach to personalized voice synthesis in the absence of reference speech data from the target speaker. It is intended to help vocally di…

eess.AS2024

Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss

Yusheng Tian, Jingyu Li, Tan Lee

This research is about the creation of personalized synthetic voices for head and neck cancer survivors. It is focused particularly on tongue cancer patients whose speech might exh…

eess.AS20221 cited

Convolution-Based Channel-Frequency Attention for Text-Independent Speaker Verification

Jingyu Li, Yusheng Tian, Tan Lee

Deep convolutional neural networks (CNNs) have been applied to extracting speaker embeddings with significant success in speaker verification. Incorporating the attention mechanism…

cs.CL20203 cited

Improving End-to-End Speech-to-Intent Classification with Reptile

Yusheng Tian, Philip John Gorinski

End-to-end spoken language understanding (SLU) systems have many advantages over conventional pipeline systems, but collecting in-domain speech data to train an end-to-end system i…