2 citations · 3 across the 7 of their papers we have counts for
8 papers
MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
Junming Yuan, Ying Shi, Dong Wang +2
Few-shot keyword spotting aims to detect previously unseen keywords with very limited labeled samples. A pre-training and adaptation paradigm is typically adopted for this task. Wh…
An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
Ziyang Zheng, Haipeng Jing, Canyu Rui +2
Text-To-SQL (T2S) conversion based on large language models (LLMs) has found a wide range of applications, by leveraging the capabilities of LLMs in interpreting the query intent e…
Few-Shot Keyword Spotting from Mixed Speech
Junming Yuan, Ying Shi, LanTian Li +2
Few-shot keyword spotting (KWS) aims to detect unknown keywords with limited training samples. A commonly used approach is the pre-training and fine-tuning framework. While effecti…
How phonemes contribute to deep speaker models?
Pengqi Li, Tianhao Wang, Lantian Li +2
Which phonemes convey more speaker traits is a long-standing question, and various perception experiments were conducted with human subjects. For speaker recognition, studies were…
Visualizing data augmentation in deep speaker recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
Visualization is of great value in understanding the internal mechanisms of neural networks. Previous work found that LayerCAM is a reliable visualization tool for deep speaker mod…
DASTSiam: Spatio-Temporal Fusion and Discriminative Augmentation for Improved Siamese Tracking
Yucheng Huang, Eksan Firkat, Ziwang Xiao +2
Tracking tasks based on deep neural networks have greatly improved with the emergence of Siamese trackers. However, the appearance of targets often changes during tracking, which c…
Reliable Visualization for Deep Speaker Recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
In spite of the impressive success of convolutional neural networks (CNNs) in speaker recognition, our understanding to CNNs' internal functions is still limited. A major obstacle…
Memory-augmented Chinese-Uyghur Neural Machine Translation
Shiyue Zhang, Gulnigar Mahmut, Dong Wang +1
Neural machine translation (NMT) has achieved notable performance recently. However, this approach has not been widely applied to the translation task between Chinese and Uyghur, p…