5 papers
Mandarin Lombard Flavor Classification
Qingmu Liu, Yuhong Yang, Baifeng Li +3
The Lombard effect refers to individuals' unconscious modulation of vocal effort in response to variations in the ambient noise levels, intending to enhance speech intelligibility.…
PCNN: A Lightweight Parallel Conformer Neural Network for Efficient Monaural Speech Enhancement
Xinmeng Xu, Weiping Tu, Yuhong Yang
Convolutional neural networks (CNN) and Transformer have wildly succeeded in multimedia applications. However, more effort needs to be made to harmonize these two architectures eff…
Exploring the Interactions between Target Positive and Negative Information for Acoustic Echo Cancellation
Chang Han, Xinmeng Xu, Weiping Tu +2
Acoustic echo cancellation (AEC) aims to remove interference signals while leaving near-end speech least distorted. As the indistinguishable patterns between near-end speech and in…
A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis
Li Xiao, Xiuping Yang, Xinhong Li +6
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing disorder caused by a blockage in the upper airways. Snoring is a prominent symptom of OSAHS, and previous s…
CQNV: A combination of coarsely quantized bitstream and neural vocoder for low rate speech coding
Youqiang Zheng, Li Xiao, Weiping Tu +2
Recently, speech codecs based on neural networks have proven to perform better than traditional methods. However, redundancy in traditional parameter quantization is visible within…