activity
20162025
most citedDistraction-Based Neural Networks for Document Summarization

61 citations · 82 across the 20 of their papers we have counts for

collaborators

20 papers

cs.SD2024

Stage-Wise and Prior-Aware Neural Speech Phase Prediction

Fei Liu, Yang Ai, Hui-Peng Du +3

This paper proposes a novel Stage-wise and Prior-aware Neural Speech Phase Prediction (SP-NSPP) model, which predicts the phase spectrum from input amplitude spectrum by two-stage…

eess.AS2024

Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement

Keying Zuo, Qingtian Xu, Jie Zhang +1

Brain-assisted speech enhancement (BASE) aims to extract the target speaker in complex multi-talker scenarios using electroencephalogram (EEG) signals as an assistive modality, as…

eess.AS2024

Refining Self-Supervised Learnt Speech Representation using Brain Activations

Hengyu Li, Kangdi Mei, Zhaoci Liu +4

It was shown in literature that speech representations extracted by self-supervised pre-trained models exhibit similarities with brain activations of human for speech perception an…

cs.SD2024

Low-Latency Neural Speech Phase Prediction based on Parallel Estimation Architecture and Anti-Wrapping Losses for Speech Generation Tasks

Yang Ai, Zhen-Hua Ling

This paper presents a novel neural speech phase prediction model which predicts wrapped phase spectra directly from amplitude spectra. The proposed model is a cascade of a residual…

cs.SD2024

Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval

Qian Wang, Jia-Chen Gu, Zhen-Hua Ling

Audio-text retrieval (ATR), which retrieves a relevant caption given an audio clip (A2T) and vice versa (T2A), has recently attracted much research attention. Existing methods typi…

cs.CL20232 cited

Is ChatGPT a Good Multi-Party Conversation Solver?

Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversatio…