2026-10-06T05:21:24Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34047616 2026-10-01T17:26:04Z category_146 category_734 portal_5 item_type_3 month_year_10_2026

<p>Comparison between CGAN-SECA and other methods on the THCHS30-DNS Challenge dataset.</p> Yecai Guo (19997082) Meiyu Liang (25157635) Tianyue Jiang (1340511) Space Science Biological Sciences not elsewhere classified wise feature responses virtual batch normalization regularize adversarial training reduce information loss highest average pesq dns challenge dataset additional computational cost remaining comparison methods reconstruct waveform samples time fourier transformation stoi scores among algorithmic latency introduced seca achieved pesq 5 db conditions stoi scores waveform reconstruction seca achieved 5 db time factor time domain xlink "> symmetric encoder skip connections relevant representations reaching 2 ranking second noise ratio multiple signal level fidelity generator employs evaluated methods emphasize speech decoder backbone contains environmental complex noise best results based objectives babble noise &# 8722 <p>Comparison between CGAN-SECA and other methods on the THCHS30-DNS Challenge dataset.</p> 2026-10-01T17:25:48Z Dataset Dataset 10.1371/journal.pone.0359641.t004 https://figshare.com/articles/dataset/_p_Comparison_between_CGAN-SECA_and_other_methods_on_the_THCHS30-DNS_Challenge_dataset_p_/34047616 CC BY 4.0