{"id":23097170,"url":"https://github.com/ihabbendidi/trigger-word-detection","last_synced_at":"2026-05-03T16:31:26.069Z","repository":{"id":119877248,"uuid":"228928865","full_name":"IhabBendidi/trigger-word-detection","owner":"IhabBendidi","description":"An implementation of trigger word detection using keras, for detecting digits spoken in an audio","archived":false,"fork":false,"pushed_at":"2020-01-09T18:04:55.000Z","size":11393,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-03T20:15:52.847Z","etag":null,"topics":["audio","deep-learning","detection","fourier-transform","gru","keras","precision","python","rnn","spectograms","speech-recognition","trigger","trigger-word-detection","wave"],"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/IhabBendidi.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-12-18T22:02:21.000Z","updated_at":"2023-04-06T21:33:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"045795bb-9360-40b3-92bb-fd031e0561ba","html_url":"https://github.com/IhabBendidi/trigger-word-detection","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/IhabBendidi/trigger-word-detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IhabBendidi%2Ftrigger-word-detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IhabBendidi%2Ftrigger-word-detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IhabBendidi%2Ftrigger-word-detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IhabBendidi%2Ftrigger-word-detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IhabBendidi","download_url":"https://codeload.github.com/IhabBendidi/trigger-word-detection/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IhabBendidi%2Ftrigger-word-detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32577119,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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","deep-learning","detection","fourier-transform","gru","keras","precision","python","rnn","spectograms","speech-recognition","trigger","trigger-word-detection","wave"],"created_at":"2024-12-16T22:56:48.135Z","updated_at":"2026-05-03T16:31:26.052Z","avatar_url":"https://github.com/IhabBendidi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Trigger word detection model \n\n## Context \nThis is an implementation of a deep learning model for trigger word detection. The model enables, after training, to detect a trigger word mention in a speech. The model is currently trained using a digits dataset, and is being improved upon using precision and F1 scores criterias. Any improvements are very welcomed.\n\n## Advancement\nThe model's precision and F1 score are being improved further.\n\n## How to Run\nRequire [Python 3.5+](https://www.python.org/ftp/python/3.6.4/python-3.6.4.exe) and [Jupyter notebook](https://jupyter.readthedocs.io/en/latest/install.html) installed\n\n### Install required libraries\nThe first cells of the notebook contain the installation scripts, as well as scripts for downloading the dataset necessary for training. They could be run in succession the take care of this phase.\n\n\n### Real-time demo\n\nIn the project directory start a command line, then run command\n```\njupyter notebook\n```\n\nOpen the main notebook in this repository.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fihabbendidi%2Ftrigger-word-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fihabbendidi%2Ftrigger-word-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fihabbendidi%2Ftrigger-word-detection/lists"}