78 citations · 231 across the 9 of their papers we have counts for
9 papers
Guiding the underwater acoustic target recognition with interpretable contrastive learning
Yuan Xie, Jiawei Ren, Ji Xu
Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based sys…
Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts
Yuan Xie, Jiawei Ren, Ji Xu
Underwater acoustic target recognition is a difficult task owing to the intricate nature of underwater acoustic signals. The complex underwater environments, unpredictable transmis…
Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation
Ji Xu, Yuan Xie, Wenchao Wang
Underwater acoustic target recognition is a challenging task owing to the intricate underwater environments and limited data availability. Insufficient data can hinder the ability…
Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform
Yuan Xie, Jiawei Ren, Ji Xu
Analyzing the ocean acoustic environment is a tricky task. Background noise and variable channel transmission environment make it complicated to implement accurate ship-radiated no…
Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition
Yuan Xie, Jiawei Ren, Ji Xu
Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and na…
Advancing underwater acoustic target recognition via adaptive data pruning and smoothness-inducing regularization
Yuan Xie, Tianyu Chen, Ji Xu
Underwater acoustic recognition for ship-radiated signals has high practical application value due to the ability to recognize non-line-of-sight targets. However, due to the diffic…
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset
Zehui Yang, Yifan Chen, Lei Luo +9
This paper introduces a high-quality rich annotated Mandarin conversational (RAMC) speech dataset called MagicData-RAMC. The MagicData-RAMC corpus contains 180 hours of conversatio…
Improving CTC-based speech recognition via knowledge transferring from pre-trained language models
Keqi Deng, Songjun Cao, Yike Zhang +4
Recently, end-to-end automatic speech recognition models based on connectionist temporal classification (CTC) have achieved impressive results, especially when fine-tuned from wav2…
An Improved Residual LSTM Architecture for Acoustic Modeling
Lu Huang, Jiasong Sun, Ji Xu +1
Long Short-Term Memory (LSTM) is the primary recurrent neural networks architecture for acoustic modeling in automatic speech recognition systems. Residual learning is an efficient…