{"id":22689924,"url":"https://github.com/machinelearningzuu/data-engineering-process-of-audio-data","last_synced_at":"2026-04-29T17:39:53.225Z","repository":{"id":102127120,"uuid":"418902517","full_name":"machinelearningzuu/Data-Engineering-Process-of-Audio-Data","owner":"machinelearningzuu","description":"This Repository Consists of the Feature Engineering Process of Audio Signals in both Time Domain \u0026 Frequency Domain. In more the repository contains Jupiter-notebook implementations which uses python \u0026 librosa","archived":false,"fork":false,"pushed_at":"2021-10-19T12:18:22.000Z","size":19525,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-04T17:17:44.674Z","etag":null,"topics":["audio-processing","librosa","machine-learning","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/machinelearningzuu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-10-19T11:52:47.000Z","updated_at":"2024-12-07T09:34:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"32f1a4d6-45ce-4a05-9854-6bec082c5957","html_url":"https://github.com/machinelearningzuu/Data-Engineering-Process-of-Audio-Data","commit_stats":null,"previous_names":["machinelearningzuu/data-engineering-process-of-audio-data"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/machinelearningzuu%2FData-Engineering-Process-of-Audio-Data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/machinelearningzuu%2FData-Engineering-Process-of-Audio-Data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/machinelearningzuu%2FData-Engineering-Process-of-Audio-Data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/machinelearningzuu%2FData-Engineering-Process-of-Audio-Data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/machinelearningzuu","download_url":"https://codeload.github.com/machinelearningzuu/Data-Engineering-Process-of-Audio-Data/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246208169,"owners_count":20740840,"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":["audio-processing","librosa","machine-learning","python"],"created_at":"2024-12-10T00:24:18.928Z","updated_at":"2026-04-29T17:39:48.190Z","avatar_url":"https://github.com/machinelearningzuu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data-Engineering-Process-of-Audio-Data\n\n### Basically we can derive audio features in both Time Domain and Frequency Domain. Here we experiment \u0026 visualize different techniques for each audio feature type using python and librosa\n\n## Time Domain Features:\n###  1 . Time Spectrum\n![github](https://github.com/1zuu/Data-Engineering-Process-of-Audio-Data/blob/main/results/time_spectrum.png)\n###  2 . Amplitude Envelope\n![github](https://github.com/1zuu/Data-Engineering-Process-of-Audio-Data/blob/main/results/amplitude_envelop.png)\n###  3 . Zero Crossing Rate\n![github](https://github.com/1zuu/Data-Engineering-Process-of-Audio-Data/blob/main/results/zcr.png)\n###  4 . Root Mean Square Energy\n![github](https://github.com/1zuu/Data-Engineering-Process-of-Audio-Data/blob/main/results/rmse.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fdata-engineering-process-of-audio-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningzuu%2Fdata-engineering-process-of-audio-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fdata-engineering-process-of-audio-data/lists"}