[HTML][HTML] Employing Huber and TAP Losses to Improve Inter-SubNet in Speech Enhancement
JW Hung, PC Huang, LY Li - Future Internet, 2024 - mdpi.com
In this study, improvements are made to Inter-SubNet, a state-of-the-art speech
enhancement method. Inter-SubNet is a single-channel speech enhancement framework …
enhancement method. Inter-SubNet is a single-channel speech enhancement framework …
Architecting an enterprise financial management model: leveraging multi-head attention mechanism-transformer for user information transformation
W Yu, H Hamam - PeerJ Computer Science, 2024 - peerj.com
Financial management assumes a pivotal role as a fundamental information system
contributing to enterprise development. Nonetheless, prevalent methodologies frequently …
contributing to enterprise development. Nonetheless, prevalent methodologies frequently …
[PDF][PDF] SASEGAN-TCN: Speech enhancement algorithm based on self-attention generative adversarial network and temporal convolutional network
R Lv, N Chen, S Cheng, G Fan, L Rao… - Mathematical …, 2024 - aimspress.com
Traditional unsupervised speech enhancement models often have problems such as
nonaggregation of input feature information, which will introduce additional noise during …
nonaggregation of input feature information, which will introduce additional noise during …
[PDF][PDF] Towards an Efficient and Accurate Speech Enhancement by a Comprehensive Ablation Study
LA Azcutia - 2024 - oa.upm.es
Speech enhancement tasks are methods that improve the quality and intelligibility of noisy
audio signals. To that end, speech enhancement models are trained to distinguish between …
audio signals. To that end, speech enhancement models are trained to distinguish between …