{"id":13785634,"url":"https://github.com/RicherMans/PLDA","last_synced_at":"2025-05-11T21:31:24.309Z","repository":{"id":135112841,"uuid":"43630409","full_name":"RicherMans/PLDA","owner":"RicherMans","description":"An LDA/PLDA estimator using KALDI in python for speaker verification tasks","archived":false,"fork":false,"pushed_at":"2017-04-15T03:13:21.000Z","size":153,"stargazers_count":99,"open_issues_count":2,"forks_count":24,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-11-17T22:35:00.198Z","etag":null,"topics":["kaldi","plda","speaker-verification"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/RicherMans.png","metadata":{"files":{"readme":"README","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":"2015-10-04T08:52:43.000Z","updated_at":"2024-06-12T09:26:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"9c411b28-4b54-40ac-a5e9-9e65bde37f3a","html_url":"https://github.com/RicherMans/PLDA","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RicherMans%2FPLDA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RicherMans%2FPLDA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RicherMans%2FPLDA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RicherMans%2FPLDA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RicherMans","download_url":"https://codeload.github.com/RicherMans/PLDA/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253638868,"owners_count":21940433,"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":["kaldi","plda","speaker-verification"],"created_at":"2024-08-03T19:01:02.810Z","updated_at":"2025-05-11T21:31:23.836Z","avatar_url":"https://github.com/RicherMans.png","language":"Python","funding_links":[],"categories":["Table of Contents","Python"],"sub_categories":["Tools"],"readme":"=== A simple library to run LDA ===\nWith this library LDA can be run. The library provides overall just two simple methods to estimate\nand predict an LDA classifier.\n\n=== Installation ===\n\nMake sure you have the variable KALDI_ROOT set in your path.\nOtherwise:\n\nexport KALDI_ROOT=/YOUTPATH/TO/KALDI/ROOT\n\nthen just build the libraries:\n\nmkdir build\ncd build\ncmake ../\nmake\n\nThe installation process compiles a shared library and drops it into the local users python path.\n\nTo use it, please just write any python script:\n\nimport liblda\n\nlda = liblda.LDA()\n\n#Estimate an LDA model\nlda.fit(spktoutts,targetdim)\n\n\ntransformedutt = lda.fit(pathtoutt)\n\nMake sure that spktoutts is a dict where the keys represent the speaker model and the values\nrepresent all the utterances belonging to that speaker. Therefore it is a dict with strings\nas keys and a list as values.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRicherMans%2FPLDA","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FRicherMans%2FPLDA","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRicherMans%2FPLDA/lists"}