10 citations · 26 across the 19 of their papers we have counts for
6 papers · 2 filters
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…
Model Compression for DNN-based Speaker Verification Using Weight Quantization
Jingyu Li, Wei Liu, Zhaoyang Zhang +2
DNN-based speaker verification (SV) models demonstrate significant performance at relatively high computation costs. Model compression can be applied to reduce the model size for l…
Transport-Oriented Feature Aggregation for Speaker Embedding Learning
Yusheng Tian, Jingyu Li, Tan Lee
Pooling is needed to aggregate frame-level features into utterance-level representations for speaker modeling. Given the success of statistics-based pooling methods, we hypothesize…
Learnable Frequency Filters for Speech Feature Extraction in Speaker Verification
Jingyu Li, Yusheng Tian, Tan Lee
Mel-scale spectrum features are used in various recognition and classification tasks on speech signals. There is no reason to expect that these features are optimal for all differe…
EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification
Jingyu Li, Wei Liu, Tan Lee
Performance degradation caused by language mismatch is a common problem when applying a speaker verification system on speech data in different languages. This paper proposes a dom…
Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations
Si-Ioi Ng, Cymie Wing-Yee Ng, Jiarui Wang +1
This paper presents a macroscopic approach to automatic detection of speech sound disorder (SSD) in child speech. Typically, SSD is manifested by persistent articulation and phonol…