research
∙
07/28/2023
PCNN: A Lightweight Parallel Conformer Neural Network for Efficient Monaural Speech Enhancement
Convolutional neural networks (CNN) and Transformer have wildly succeede...
share
research
∙
07/26/2023
Exploring the Interactions between Target Positive and Negative Information for Acoustic Echo Cancellation
Acoustic echo cancellation (AEC) aims to remove interference signals whi...
research
∙
07/25/2023
CQNV: A combination of coarsely quantized bitstream and neural vocoder for low rate speech coding
Recently, speech codecs based on neural networks have proven to perform ...
research
∙
12/07/2022
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement
Attention mechanisms, such as local and non-local attention, play a fund...
research
∙
12/02/2022
Injecting Spatial Information for Monaural Speech Enhancement via Knowledge Distillation
Monaural speech enhancement (SE) provides a versatile and cost-effective...
research
∙
06/30/2022
Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention
Audio-visual speech enhancement system is regarded as one of promising s...
research
∙
06/30/2022
GLD-Net: Improving Monaural Speech Enhancement by Learning Global and Local Dependency Features with GLD Block
For monaural speech enhancement, contextual information is important for...
research
∙
05/03/2022
Improving Dual-Microphone Speech Enhancement by Learning Cross-Channel Features with Multi-Head Attention
Hand-crafted spatial features, such as inter-channel intensity differenc...
research
∙
02/04/2021
VSEGAN: Visual Speech Enhancement Generative Adversarial Network
Speech enhancement is an essential task of improving speech quality in n...
research
∙
01/15/2021
AMFFCN: Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement
Audio-visual speech enhancement system is regarded to be one of promisin...
research
∙
01/15/2021
