{"id":22706772,"url":"https://github.com/mbari-org/ecoz2-whale","last_synced_at":"2025-03-29T20:43:45.572Z","repository":{"id":107430002,"uuid":"150505112","full_name":"mbari-org/ecoz2-whale","owner":"mbari-org","description":"ECOZ2 applied on whale song unit files","archived":false,"fork":false,"pushed_at":"2020-11-16T17:03:51.000Z","size":241085,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-02-04T21:43:19.328Z","etag":null,"topics":["hmm","k-means","linear-predictive-coding","supervised-learning","unsupervised-learning","whale-song-files"],"latest_commit_sha":null,"homepage":"","language":"Shell","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/mbari-org.png","metadata":{"files":{"readme":"README.md","changelog":"ChangeLog.md","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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-09-27T00:17:07.000Z","updated_at":"2022-09-01T18:39:29.000Z","dependencies_parsed_at":"2023-05-17T11:15:24.496Z","dependency_job_id":null,"html_url":"https://github.com/mbari-org/ecoz2-whale","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/mbari-org%2Fecoz2-whale","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbari-org%2Fecoz2-whale/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbari-org%2Fecoz2-whale/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbari-org%2Fecoz2-whale/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mbari-org","download_url":"https://codeload.github.com/mbari-org/ecoz2-whale/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246243565,"owners_count":20746307,"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":["hmm","k-means","linear-predictive-coding","supervised-learning","unsupervised-learning","whale-song-files"],"created_at":"2024-12-10T10:09:40.819Z","updated_at":"2025-03-29T20:43:45.567Z","avatar_url":"https://github.com/mbari-org.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"This space captures VQ/HMM classification exercises\non labelled whale song unit data.\n\n## Status\n\nComplete exercises with some level of model tuning.\n\nA general presentation about VQ/HMM and its application on the\ninitial set of exercises described here can be found at\nhttps://github.com/ecoz2/ecoz2-doc/blob/master/exploration/vqhmm-whale.pdf.\n\n## Exercises\n\n- [exerc00](exerc00): On 10 labelled files.\n\n- [exerc01](exerc01): On a 4.5 hour recording.\n\n- [exerc02](exerc02): As exerc01 but with some underlying adjustments in\n  programs parameters and file organization.\n\n- exerc03: related with the \"windy\" interval in the 4.5 recording:\n\n  - [exerc03a](exerc03a): excluding the windy interval\n  - [exerc03b](exerc03b): only considering the windy interval\n\n- [exerc04](exerc04): As exerc01 but with number of refinements iterations\n  set to 120\n\n- exerc05: As exerc01 but with order of prediction P = 20\n  according to rule of thumb P = 4 + f\u003csub\u003es\u003c/sub\u003e / 1000,\n  where the sampling frequency f\u003csub\u003es\u003c/sub\u003e is 16kHz in our case.\n\n  - [exerc05](exerc05a): Other parameters as in previous exercises\n  - [exerc05b](exerc05b): Only considering classes with at least 100 instances\n  - [exerc05c](exerc05c): Only considering classes with at least 200 instances\n\n- exerc06: As exerc05c but merging classes \"I\" and \"I2\" into a \"II\" class.\n  - [exerc06](exerc06)\n\n## Some signal inspection\n\nSee [signal-inspection](signal-inspection).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbari-org%2Fecoz2-whale","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmbari-org%2Fecoz2-whale","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbari-org%2Fecoz2-whale/lists"}