{"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/wavenet-based-low-rate-speech-coding","title":"Wavenet based low rate speech coding","arxiv_id":"1712.01120","date":"2017-12-01","proceeding":null,"authors":["W. Bastiaan Kleijn","Felicia S. C. Lim","Alejandro Luebs","Jan Skoglund","Florian Stimberg","Quan Wang","Thomas C. Walters"],"abstract":"Traditional parametric coding of speech facilitates low rate but provides\npoor reconstruction quality because of the inadequacy of the model used. We\ndescribe how a WaveNet generative speech model can be used to generate high\nquality speech from the bit stream of a standard parametric coder operating at\n2.4 kb/s. We compare this parametric coder with a waveform coder based on the\nsame generative model and show that approximating the signal waveform incurs a\nlarge rate penalty. Our experiments confirm the high performance of the WaveNet\nbased coder and show that the speech produced by the system is able to\nadditionally perform implicit bandwidth extension and does not significantly\nimpair recognition of the original speaker for the human listener, even when\nthat speaker has not been used during the training of the generative model.","url_abs":"http://arxiv.org/abs/1712.01120v1","url_pdf":"http://arxiv.org/pdf/1712.01120v1.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":"wavenet-based-low-rate-speech-coding","repo_url":"https://github.com/google/lyra","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"bandwidth-extension","task_name":"Bandwidth Extension"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.01120","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}