activity
20142024
most citedConstructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

12 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2024

TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information

Yiwen Wang, Xihong Wu

Target sound extraction (TSE) separates the target sound from the mixture signals based on provided clues. However, the performance of existing models significantly degrades under…

cs.HC2023

Semantic reconstruction of continuous language from MEG signals

Bo Wang, Xiran Xu, Longxiang Zhang +3

Decoding language from neural signals holds considerable theoretical and practical importance. Previous research has indicated the feasibility of decoding text or speech from invas…

cs.SD20222 cited

Room geometry blind inference based on the localization of real sound source and first order reflections

Shan Gao, Xihong Wu, Tianshu Qu

The conventional room geometry blind inference techniques with acoustic signals are conducted based on the prior knowledge of the environment, such as the room impulse response (RI…

cs.CL20165 cited

Long Short-Term Memory based Convolutional Recurrent Neural Networks for Large Vocabulary Speech Recognition

Xiangang Li, Xihong Wu

Long short-term memory (LSTM) recurrent neural networks (RNNs) have been shown to give state-of-the-art performance on many speech recognition tasks, as they are able to provide th…

cs.CL201412 cited

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Xiangang Li, Xihong Wu

Long short-term memory (LSTM) based acoustic modeling methods have recently been shown to give state-of-the-art performance on some speech recognition tasks. To achieve a further p…