10 citations · 14 across the 6 of their papers we have counts for
6 papers
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…
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech
Wei Liu, Jingyu Li, Tan Lee
The performance of child speech recognition is generally less satisfactory compared to adult speech due to limited amount of training data. Significant performance degradation is e…
Exploiting Pre-Trained ASR Models for Alzheimer's Disease Recognition Through Spontaneous Speech
Ying Qin, Wei Liu, Zhiyuan Peng +4
Alzheimer's disease (AD) is a progressive neurodegenerative disease and recently attracts extensive attention worldwide. Speech technology is considered a promising solution for th…
Improving Text-Independent Speaker Verification with Auxiliary Speakers Using Graph
Jingyu Li, Si-Ioi Ng, Tan Lee
The paper presents a novel approach to refining similarity scores between input utterances for robust speaker verification. Given the embeddings from a pair of input utterances, a…
Detection of Consonant Errors in Disordered Speech Based on Consonant-vowel Segment Embedding
Si-Ioi Ng, Cymie Wing-Yee Ng, Jingyu Li +1
Speech sound disorder (SSD) refers to a type of developmental disorder in young children who encounter persistent difficulties in producing certain speech sounds at the expected ag…
Text-Independent Speaker Verification with Dual Attention Network
Jingyu Li, Tan Lee
This paper presents a novel design of attention model for text-independent speaker verification. The model takes a pair of input utterances and generates an utterance-level embeddi…