10 citations · 26 across the 19 of their papers we have counts for
19 papers
Toward a Cross-Lingual Romanization Ecosystem for Sinitic Languages: A Paired Mandarin-Cantonese Case Study
Zijie Zhang, Tan Lee, Yong Cao +1
This paper proposes the Sinitic Romanization Ecosystem, a cross-lingual Sinitic romanization design framework with supporting digital infrastructure and a community-driven open-sou…
Efficient Black-Box Speaker Verification Model Adaptation with Reprogramming and Backend Learning
Jingyu Li, Tan Lee
The development of deep neural networks (DNN) has significantly enhanced the performance of speaker verification (SV) systems in recent years. However, a critical issue that persis…
CoMFLP: Correlation Measure based Fast Search on ASR Layer Pruning
Wei Liu, Zhiyuan Peng, Tan Lee
Transformer-based speech recognition (ASR) model with deep layers exhibited significant performance improvement. However, the model is inefficient for deployment on resource-constr…
Sparsely Shared LoRA on Whisper for Child Speech Recognition
Wei Liu, Ying Qin, Zhiyuan Peng +1
Whisper is a powerful automatic speech recognition (ASR) model. Nevertheless, its zero-shot performance on low-resource speech requires further improvement. Child speech, as a repr…
ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading
Yujia Xiao, Shaofei Zhang, Xi Wang +5
While state-of-the-art Text-to-Speech systems can generate natural speech of very high quality at sentence level, they still meet great challenges in speech generation for paragrap…
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data
Yusheng Tian, Wei Liu, Tan Lee
Creating synthetic voices with found data is challenging, as real-world recordings often contain various types of audio degradation. One way to address this problem is to pre-enhan…
Leveraging phone-level linguistic-acoustic similarity for utterance-level pronunciation scoring
Wei Liu, Kaiqi Fu, Xiaohai Tian +4
Recent studies on pronunciation scoring have explored the effect of introducing phone embeddings as reference pronunciation, but mostly in an implicit manner, i.e., addition or con…
An ASR-free Fluency Scoring Approach with Self-Supervised Learning
Wei Liu, Kaiqi Fu, Xiaohai Tian +4
A typical fluency scoring system generally relies on an automatic speech recognition (ASR) system to obtain time stamps in input speech for either the subsequent calculation of flu…
Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition
Zhiyuan Peng, Xuanji He, Ke Ding +2
Very deep models for speaker recognition (SR) have demonstrated remarkable performance improvement in recent research. However, it is impractical to deploy these models for on-devi…
Covariance Regularization for Probabilistic Linear Discriminant Analysis
Zhiyuan Peng, Mingjie Shao, Xuanji He +4
Probabilistic linear discriminant analysis (PLDA) is commonly used in speaker verification systems to score the similarity of speaker embeddings. Recent studies improved the perfor…
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…
Effective Online Exam Proctoring by Combining Lightweight Face Detection and Deep Recognition
Xu Yang, Juantao Zhong, Daoyuan Wu +4
Online exams conducted via video conferencing platforms such as Zoom have become widespread, yet ensuring exam integrity remains challenging due to the difficulty of monitoring mul…
Unifying Cosine and PLDA Back-ends for Speaker Verification
Zhiyuan Peng, Xuanji He, Ke Ding +2
State-of-art speaker verification (SV) systems use a back-end model to score the similarity of speaker embeddings extracted from a neural network model. The commonly used back-end…
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…
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…