{"id":18750362,"url":"https://github.com/ntia/wenets","last_synced_at":"2025-10-26T23:50:54.599Z","repository":{"id":44486328,"uuid":"261252328","full_name":"NTIA/WEnets","owner":"NTIA","description":"Reference Implementations of Waveform Evaluation Networks (WEnets)","archived":false,"fork":false,"pushed_at":"2023-09-18T16:11:04.000Z","size":50985,"stargazers_count":23,"open_issues_count":1,"forks_count":6,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-26T18:02:42.400Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NTIA.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-05-04T17:32:14.000Z","updated_at":"2024-10-04T07:30:44.000Z","dependencies_parsed_at":"2024-11-07T17:11:46.102Z","dependency_job_id":"adb850fa-8485-4ae2-a3d3-f9cb7d2d390a","html_url":"https://github.com/NTIA/WEnets","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NTIA%2FWEnets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NTIA%2FWEnets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NTIA%2FWEnets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NTIA%2FWEnets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NTIA","download_url":"https://codeload.github.com/NTIA/WEnets/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248647257,"owners_count":21139081,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T17:11:32.727Z","updated_at":"2025-10-26T23:50:49.563Z","avatar_url":"https://github.com/NTIA.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# WAWEnets Reference Implementations\nMATLAB®/Octave and C++ implementations of Wideband Audio Waveform Evaluation networks or WAWEnets.\n\nThis WAWEnets implementation produces one or more speech quality or intelligibility values for each input speech signal without using reference speech signals.\nWAWEnets are convolutional neural networks and they have been trained using full-reference objective speech quality and speech intelligibility values.\n\nDetails can be found in \u003ca href=\"https://www.its.bldrdoc.gov/publications/3242.aspx\" target=\"_blank\"\u003ethe WAWEnets paper.\u003c/a\u003e\u003csup id=\"wawenets\"\u003e[1](#f1)\u003c/sup\u003e\n\nIf you need to cite our work, please use the following:\n\n```\n@INPROCEEDINGS{\n   9054204,\n   author={A. A. {Catellier} and S. D. {Voran}},\n   booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n   title={Wawenets: A No-Reference Convolutional Waveform-Based Approach to Estimating Narrowband and Wideband Speech Quality},\n   year={2020},\n   volume={},\n   number={},\n   pages={331-335},\n}\n```\n\n## MATLAB/Octave Implementation\nInstructions for using the MATLAB/Octave implementation are found [here](matlab/readme.md).\n\n## C++ Implementation\nInstructions for building and using the C++ implementation are found [here](cplusplus/README.md).\n\n## Python Implementation\nInstructions for setting up and using the Python implementation are found [here](python/README.md)\n\n-------------------------------------\n\u003cb id=\"f1\"\u003e1\u003c/b\u003e Andrew A. Catellier \u0026 Stephen D. Voran, \"WAWEnets: A No-Reference Convolutional Waveform-Based Approach to Estimating Narrowband and Wideband Speech Quality,\" ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 331-335. [↩](#wawenets)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fntia%2Fwenets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fntia%2Fwenets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fntia%2Fwenets/lists"}