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20212026
most citedExploiting Pre-Trained ASR Models for Alzheimer's Disease Recognition Through Spontaneous Speech

10 citations · 26 across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

eess.AS2023

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…

eess.AS2023

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…

eess.AS2023★ 1 cited

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…

cs.CL2023★ 7 cited

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…

eess.AS2023★ 1 cited

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…

eess.AS2023

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…

eess.AS2023

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…