{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/rnnoise-ex-hybrid-speech-enhancement-system","title":"RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features","arxiv_id":"2105.11813","date":"2021-05-25","proceeding":null,"authors":["Constantine C. Doumanidis","Christina Anagnostou","Evangelia-Sofia Arvaniti","Anthi Papadopoulou"],"abstract":"Recent interest in exploiting Deep Learning techniques for Noise Suppression, has led to the creation of Hybrid Denoising Systems that combine classic Signal Processing with Deep Learning. In this paper, we concentrated our efforts on extending the RNNoise denoising system (arXiv:1709.08243) with the inclusion of complementary features during the training phase. We present a comprehensive explanation of the set-up process of a modified system and present the comparative results derived from a performance evaluation analysis, using a reference version of RNNoise as control.","url_abs":"https://arxiv.org/abs/2105.11813v1","url_pdf":"https://arxiv.org/pdf/2105.11813v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"rnnoise-ex-hybrid-speech-enhancement-system","repo_url":"https://github.com/CedArctic/rnnoise-ex","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"rnnoise-ex-hybrid-speech-enhancement-system","repo_url":"https://github.com/MindSpore-scientific-2/code-1/tree/main/ZoneoutRNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"rnnoise-ex-hybrid-speech-enhancement-system","repo_url":"https://github.com/MindSpore-scientific/code-10/tree/main/ZoneoutRNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"rnnoise-ex-hybrid-speech-enhancement-system","repo_url":"https://github.com/MindSpore-scientific/code-13/tree/main/Last-Query-Transformer-RNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"speech-enhancement","task_name":"Speech Enhancement"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2105.11813","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}