4 citations · 4 across the 19 of their papers we have counts for
10 papers · 1 filter
ProLombard: Structured Multi-Scale Modeling for Normal-to-Lombard Speech Conversion
Hongyang Chen, Xinmeng Xu, Youqiang Zheng +5
Normal-to-Lombard (N2L) speech conversion aims to improve speech intelligibility in noisy environments by transforming normal speech into Lombard-style speech while preserving ling…
Improving Speech Enhancement by Cross- and Sub-band Processing with State Space Model
Jizhen Li, Weiping Tu, Yuhong Yang +3
Recently, the state space model (SSM) represented by Mamba has shown remarkable performance in long-term sequence modeling tasks, including speech enhancement. However, due to subs…
FreeCodec: A disentangled neural speech codec with fewer tokens
Youqiang Zheng, Weiping Tu, Yueteng Kang +5
Neural speech codecs have gained great attention for their outstanding reconstruction with discrete token representations. It is a crucial component in generative tasks such as spe…
Improving Speech Enhancement by Integrating Inter-Channel and Band Features with Dual-branch Conformer
Jizhen Li, Xinmeng Xu, Weiping Tu +2
Recent speech enhancement methods based on convolutional neural networks (CNNs) and transformer have been demonstrated to efficaciously capture time-frequency (T-F) information on…
SimuSOE: A Simulated Snoring Dataset for Obstructive Sleep Apnea-Hypopnea Syndrome Evaluation during Wakefulness
Jie Lin, Xiuping Yang, Li Xiao +5
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a prevalent chronic breathing disorder caused by upper airway obstruction. Previous studies advanced OSAHS evaluation through m…
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.…
Exploring Sentence Type Effects on the Lombard Effect and Intelligibility Enhancement: A Comparative Study of Natural and Grid Sentences
Hongyang Chen, Yuhong Yang, Zhongyuan Wang +3
This study explores how sentence types affect the Lombard effect and intelligibility enhancement, focusing on comparisons between natural and grid sentences. Using the Lombard Chin…
EMALG: An Enhanced Mandarin Lombard Grid Corpus with Meaningful Sentences
Baifeng Li, Qingmu Liu, Yuhong Yang +3
This study investigates the Lombard effect, where individuals adapt their speech in noisy environments. We introduce an enhanced Mandarin Lombard grid (EMALG) corpus with meaningfu…
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…